IVOD_ID |
150977 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/150977 |
日期 |
2024-04-10 |
會議資料.會議代碼 |
委員會-11-1-20-7 |
會議資料.會議代碼:str |
第11屆第1會期財政委員會第7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 |
7 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.標題 |
第11屆第1會期財政委員會第7次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-04-10T11:19:48+08:00 |
結束時間 |
2024-04-10T11:31:21+08:00 |
影片長度 |
00:11:33 |
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/871d5246fb87948e61a41d0260b8253741a30a144cce7a10f8ba9b0039caa7a673918cfeb3a2548d5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
羅明才 |
委員發言時間 |
11:19:48 - 11:31:21 |
會議時間 |
2024-04-10T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期財政委員會第7次全體委員會議(事由:一、審查「所得稅法」12案:
(一) 審查本院委員羅明才等23人擬具「所得稅法第十五條條文修正草案」案。
(二) 審查本院國民黨黨團、台灣民眾黨黨團、委員馬文君等16人、委員魯明哲等23人、委員謝龍介等20人、委員賴士葆等17人、委員賴士葆等18人、委員林德福等21人、委員楊瓊瓔等16人、委員賴士葆等28人、委員王正旭等17人分別擬具「所得稅法第十七條條文修正草案」等11案。【本院國民黨黨團、台灣民眾黨黨團、委員賴士葆等28人及委員王正旭等17人提案如經院會復議,則不予審查】
二、審查「加值型及非加值型營業稅法」4案:
(一) 行政院函請審議「加值型及非加值型營業稅法部分條文修正草案」案。
(二) 本院台灣民眾黨黨團、委員黃捷等17人、委員吳宗憲等18人分別擬具「加值型及非加值型營業稅法第八條條文修正草案」等3案。【本院委員黃捷等17人及委員吳宗憲等18人提案如經院會復議,則不予審查】
【11日下午2時止,4月10日及11日二天一次會,僅詢答】) |
gazette.lineno |
628 |
gazette.blocks[0][0] |
羅委員明才:(11時19分)主席、各位委員、各位出列席官員,大家好。主席,有請莊部長。 |
gazette.blocks[1][0] |
主席:請莊部長。 |
gazette.blocks[2][0] |
羅委員明才:還有賦稅署宋署長。 |
gazette.blocks[3][0] |
主席:賦稅署。 |
gazette.blocks[4][0] |
莊部長翠雲:委員好。 |
gazette.blocks[5][0] |
羅委員明才:部長,4月3日大地震傷亡非常慘重,截至目前為止,死了多少人? |
gazette.blocks[6][0] |
莊部長翠雲:據我所知,花蓮地區的數字每天都在變,尤其是在砂卡礑步道有滿多人往生,天王星大樓也有往生的民眾,大概有…… |
gazette.blocks[7][0] |
羅委員明才:我看到的畫面怵目驚心,不只花蓮,在本席出示的照片裡面也有一整排房子在一瞬間8戶全部坍塌。部長,我們是不是為這些受傷、死亡的親愛的民眾一起默哀一下? |
gazette.blocks[8][0] |
莊部長翠雲:好啊! |
gazette.blocks[8][1] |
(默哀) |
gazette.blocks[9][0] |
羅委員明才:好,謝謝。 |
gazette.blocks[9][1] |
在默哀的同時,我也要提醒部長:莫忘世上苦人多。真的,人民現在苦哈哈!我在第一時間到現場去,你看,整個就這樣坍塌了!人民的生命財產一瞬間就化為烏有。 |
gazette.blocks[9][2] |
部長剛才提到的都是花蓮,花蓮我們責無旁貸,全力支持,因為他們都是我們的人民,都是我們的同胞。部長,像安坑地區這些災民是不是也可以比照花蓮的受災戶,大家一起來關心他們? |
gazette.blocks[10][0] |
莊部長翠雲:是的,應該的、應該的。 |
gazette.blocks[11][0] |
羅委員明才:可以哦? |
gazette.blocks[12][0] |
莊部長翠雲:都應該給予關懷,對! |
gazette.blocks[13][0] |
羅委員明才:那就請財政部多多協助。 |
gazette.blocks[14][0] |
莊部長翠雲:會的,我們一定會盡全力協助。 |
gazette.blocks[15][0] |
羅委員明才:請問這個標準都是一致的嗎? |
gazette.blocks[16][0] |
莊部長翠雲:基本上標準是一致,但是我們一定會從寬、從優來協助災民,看怎麼樣在租稅上幫助他們度過這個難關,包括減徵等等。另外如果他是租國有土地的話,租金也可以往後延或者是免繳,因為已經受損了嘛,所以租金和使用補償金的部分都有一些減免或緩繳。 |
gazette.blocks[17][0] |
羅委員明才:部長,我要感謝你啦! |
gazette.blocks[18][0] |
莊部長翠雲:我們的措施都會及時跟上。 |
gazette.blocks[19][0] |
羅委員明才:因為第一時間我就拜託你支援,國有財產署曾署長這邊馬上調度、協調前面一整片空地供災民停車、調度使用,所以在這裡也代表我們災區謝謝財政部在第一時間所做的協助,感謝! |
gazette.blocks[20][0] |
莊部長翠雲:也謝謝委員告訴我們,然後我們也可以及時因應。 |
gazette.blocks[21][0] |
羅委員明才:謝謝。我們都是將心比心,在同一個時間,大家不分你我,一起來做災後重建的工作。 |
gazette.blocks[21][1] |
我想請教一下部長,現在這個愛心捐款大概已經捐了多少? |
gazette.blocks[22][0] |
莊部長翠雲:捐款大概有幾個專戶,金額方面我手上並沒有具體的數字,但是我覺得都滿踴躍的、都上億了。 |
gazette.blocks[23][0] |
羅委員明才:因為你位高權重,是不是麻煩協調一下,讓我們這一區──安坑安泰路這附近所有的災民也可以得到政府一點點關愛的眼神,比照花蓮的受災戶一樣,能有一些實質上的幫助? |
gazette.blocks[24][0] |
莊部長翠雲:這個部分因為衛福部這邊也有一個專戶,我不知道他們在運用上是不是有一些可以幫助不只是花蓮,其他地區的受災戶也可以獲得相關的補助。 |
gazette.blocks[25][0] |
羅委員明才:拜託協調一下。 |
gazette.blocks[26][0] |
莊部長翠雲:是。 |
gazette.blocks[27][0] |
羅委員明才:謝謝。 |
gazette.blocks[27][1] |
接下來是今天審查的所得稅法第十五條、第十七條等等的修正案,我聽起來,這裡面像謝龍介委員等所提的對子女的照顧,還有魯明哲委員、賴士葆委員所提的列舉扣除額的部分,包括保險費、健康檢查費,另外是今天大家討論較多的、也是本席長期以來最關心的,其實我最關心的是對年輕人的照顧、老人的照顧、女性的照顧以及學齡前小朋友的照顧,我覺得這些都是非常重要的。所以,長照特別扣除額的部分,有的提案說要從12萬提高到36萬,包括王正旭王委員所提的健康檢查特別扣除額每個人可以有1萬塊,這些案子我覺得都非常好,本席全部都支持。請問部長,對於這些照顧人民的、好的修正草案,你有沒有反對的? |
gazette.blocks[28][0] |
莊部長翠雲:我知道委員是充滿著愛心,不管是對老、少、婦女同胞都非常關懷,有關相關扣除額的部分,因為涉及所得稅法的提案非常多,包含扣除額的項目、扣除額的金額或者是它適用的範圍,委員都有非常多的建議,我想這個部分財政部都會把它收納起來,然後做一個通盤的考量,因為這個部分牽涉到整個國家的財政穩健、租稅公平還有財政收入和稽徵的簡化等等,我們會一起通盤來做考量;各位委員的提案都有它非常好的用意。 |
gazette.blocks[29][0] |
羅委員明才:部長,你如果講這句話,我可能考慮我們就都不休息,24小時開下去喔!你不要每次來,對我們的態度都是再研究、再討論,沒有一次是很大方的!我對你的印象就是很棒、很認真,但唯一一點就是小氣!你不要讓「小氣部長」這幾個字深深地留在每個委員的腦海裡面,這個不好啦!你看,你長得年輕貌美,然後又是婀娜多姿,又有專業,為什麼不把這些好的印象、把你的愛心和對人民的關懷一次性地展現出來,非要扭扭捏捏的?這是所有不分黨派委員對長照、對女性生理期的支持,我聽半天,沒有人反對啊! |
gazette.blocks[29][1] |
我坐在台上當召委,其實覺得很難過,老百姓現在生活很痛苦,所有的物價飆漲,滷肉飯原本一碗25元,現在漲到50塊,人民已經被生活負擔壓到喘不過氣來了,所以包括本席在內,特別希望為這些年輕人、為這些存股族來爭取一些對他們的關懷,這個部分部長是不是也應該要支持一下啊? |
gazette.blocks[30][0] |
莊部長翠雲:委員一直都苦民所苦,把對民眾的關懷都放在心上,而且對行政機關有所督促,這個部分委員也提了一個提案,對股利所得的扣繳比例還有扣繳金額上限都建議修正。我們在報告裡面也提到了,這個部分可能跟原來所定的用意是不太一樣的,而且如果我們來看的話,現在扣除額最高可以到8萬,這樣的話,他最起碼可以有94萬的股利所得,而且投資金額會到兩千多萬,所以我們認為這個金額其實已經滿高了,而且在適用上,民眾並沒有統統都能適用到那麼多,一般投資人大概都沒有用到上限啦!其實這個上限都已經夠用了,是這樣子的。 |
gazette.blocks[31][0] |
羅委員明才:存股族一共大概有多少人? |
gazette.blocks[32][0] |
莊部長翠雲:關於存股族,我們可能回去再看一下在股利所得裡面…… |
gazette.blocks[33][0] |
羅委員明才:部長,現在臺灣的年輕人沒有什麼投資的管道,如果有的話可能就被詐騙,要嘛就是定存,可是定存利息又那麼低,那你叫這些年輕人怎麼辦!就應該鼓勵他們多多來愛臺灣、買臺股、買好的股票,然後跟它一生一世永相隨。你想想看嘛!我舉台積電為例,你如果20年前有這樣的一個存股的概念,你就一直放著、一直放著,等它配股配息,不就能跟著經濟的成長,然後享受經濟的紅利了嗎? |
gazette.blocks[34][0] |
莊部長翠雲:是啊! |
gazette.blocks[35][0] |
羅委員明才:因為時間關係,部長請多多站在民眾的立場,多從這個角度來出發,更何況在下個月搞不好都看不到你了。 |
gazette.blocks[36][0] |
莊部長翠雲:對啊! |
gazette.blocks[37][0] |
羅委員明才:賴清德賴總統有沒有徵詢你,或者是說卓榮泰卓院長有沒有來諮詢過你? |
gazette.blocks[38][0] |
莊部長翠雲:我想這個部分,我就把我現在的工作做好,其他我都沒有去多想,就這樣子。 |
gazette.blocks[39][0] |
羅委員明才:既然你講這句話,你就趁你最後的一個月,讓它發光發亮啊! |
gazette.blocks[40][0] |
莊部長翠雲:委員的指教、委員指教,謝謝。 |
gazette.blocks[41][0] |
羅委員明才:拜託部長多做一點好的事情,讓你的這些政績可以長留人心。 |
gazette.blocks[42][0] |
莊部長翠雲:好。 |
gazette.blocks[43][0] |
羅委員明才:至少讓大家懷念你啊!好不好? |
gazette.blocks[44][0] |
莊部長翠雲:好,謝謝委員,謝謝委員指教。 |
gazette.blocks[45][0] |
主席:謝謝羅委員,休息10分鐘。 |
gazette.blocks[45][1] |
休息(11時31分) |
gazette.blocks[45][2] |
繼續開會(11時41分) |
gazette.blocks[46][0] |
主席(羅委員明才):繼續開會。 |
gazette.blocks[46][1] |
下一位請李坤城委員質詢。 |
gazette.agenda.page_end |
72 |
gazette.agenda.meet_id |
委員會-11-1-20-7 |
gazette.agenda.speakers[0] |
羅明才 |
gazette.agenda.speakers[1] |
賴士葆 |
gazette.agenda.speakers[2] |
林德福 |
gazette.agenda.speakers[3] |
楊瓊瓔 |
gazette.agenda.speakers[4] |
王正旭 |
gazette.agenda.speakers[5] |
黃捷 |
gazette.agenda.speakers[6] |
吳宗憲 |
gazette.agenda.speakers[7] |
黃珊珊 |
gazette.agenda.speakers[8] |
吳秉叡 |
gazette.agenda.speakers[9] |
郭國文 |
gazette.agenda.speakers[10] |
賴惠員 |
gazette.agenda.speakers[11] |
李彥秀 |
gazette.agenda.speakers[12] |
王世堅 |
gazette.agenda.speakers[13] |
顏寬恒 |
gazette.agenda.speakers[14] |
李坤城 |
gazette.agenda.speakers[15] |
伍麗華Saidhai‧Tahovecahe |
gazette.agenda.speakers[16] |
黃國昌 |
gazette.agenda.speakers[17] |
洪孟楷 |
gazette.agenda.speakers[18] |
鄭天財Sra Kacaw |
gazette.agenda.speakers[19] |
張雅琳 |
gazette.agenda.speakers[20] |
鍾佳濱 |
gazette.agenda.speakers[21] |
張智倫 |
gazette.agenda.speakers[22] |
蔡易餘 |
gazette.agenda.speakers[23] |
王鴻薇 |
gazette.agenda.speakers[24] |
邱志偉 |
gazette.agenda.page_start |
1 |
gazette.agenda.meetingDate[0] |
2024-04-10 |
gazette.agenda.gazette_id |
1132701 |
gazette.agenda.agenda_lcidc_ids[0] |
1132701_00002 |
gazette.agenda.meet_name |
立法院第11屆第1會期財政委員會第7次全體委員會議紀錄 |
gazette.agenda.content |
一、審查「所得稅法」12案:(一)審查本院委員羅明才等23人擬具「所得稅法第十五條條文修正
草案」案、( 二) 審查本院國民黨黨團、台灣民眾黨黨團、委員馬文君等 16 人、委員魯明哲等23
人、委員謝龍介等20人、委員賴士葆等17人、委員賴士葆等18人、委員林德福等21人、委員楊瓊
瓔等16人、委員賴士葆等28人、委員王正旭等17人分別擬具「所得稅法第十七條條文修正草案」
等11案;二、審查「加值型及非加值型營業稅法」 4案:(一)行政院函請審議「加值型及非加值
型營業稅法部分條文修正草案」案、(二)本院台灣民眾黨黨團、委員黃捷等17人、委員吳宗憲等
18人分別擬具「加值型及非加值型營業稅法第八條條文修正草案」等3案(僅詢答) |
gazette.agenda.agenda_id |
1132701_00001 |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.49909375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
1.80284375 |
transcript.pyannote[1].end |
2.49471875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
8.63721875 |
transcript.pyannote[2].end |
9.04221875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
9.70034375 |
transcript.pyannote[3].end |
12.24846875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
12.45096875 |
transcript.pyannote[4].end |
12.94034375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
14.59409375 |
transcript.pyannote[5].end |
15.69096875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
15.92721875 |
transcript.pyannote[6].end |
17.58096875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
18.49221875 |
transcript.pyannote[7].end |
19.11659375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
20.38221875 |
transcript.pyannote[8].end |
20.75346875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
21.00659375 |
transcript.pyannote[9].end |
21.56346875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
22.52534375 |
transcript.pyannote[10].end |
23.94284375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
24.61784375 |
transcript.pyannote[11].end |
25.88346875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
26.57534375 |
transcript.pyannote[12].end |
27.28409375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
27.60471875 |
transcript.pyannote[13].end |
30.33846875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
30.77721875 |
transcript.pyannote[14].end |
31.33409375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
32.07659375 |
transcript.pyannote[15].end |
32.88659375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
33.94971875 |
transcript.pyannote[16].end |
35.60346875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
37.42596875 |
transcript.pyannote[17].end |
50.35221875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
50.72346875 |
transcript.pyannote[18].end |
53.50784375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
50.95971875 |
transcript.pyannote[19].end |
51.75284375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
51.90471875 |
transcript.pyannote[20].end |
52.34346875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
54.58784375 |
transcript.pyannote[21].end |
55.58346875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
56.41034375 |
transcript.pyannote[22].end |
57.00096875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
57.13596875 |
transcript.pyannote[23].end |
58.04721875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
58.57034375 |
transcript.pyannote[24].end |
59.59971875 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
60.52784375 |
transcript.pyannote[25].end |
61.48971875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
62.94096875 |
transcript.pyannote[26].end |
63.49784375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
64.54409375 |
transcript.pyannote[27].end |
65.99534375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
66.36659375 |
transcript.pyannote[28].end |
67.31159375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
68.49284375 |
transcript.pyannote[29].end |
68.99909375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
70.18034375 |
transcript.pyannote[30].end |
71.17596875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
73.20096875 |
transcript.pyannote[31].end |
73.60596875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
75.37784375 |
transcript.pyannote[32].end |
80.49096875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
80.94659375 |
transcript.pyannote[33].end |
82.06034375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
82.54971875 |
transcript.pyannote[34].end |
83.22471875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
83.49471875 |
transcript.pyannote[35].end |
85.09784375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
85.82346875 |
transcript.pyannote[36].end |
86.93721875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
86.93721875 |
transcript.pyannote[37].end |
86.95409375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
91.59471875 |
transcript.pyannote[38].end |
92.18534375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
92.82659375 |
transcript.pyannote[39].end |
94.68284375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
94.91909375 |
transcript.pyannote[40].end |
96.64034375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
97.39971875 |
transcript.pyannote[41].end |
99.01971875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
101.19659375 |
transcript.pyannote[42].end |
102.85034375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
103.67721875 |
transcript.pyannote[43].end |
106.30971875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
107.08596875 |
transcript.pyannote[44].end |
108.25034375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
109.33034375 |
transcript.pyannote[45].end |
109.90409375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
110.69721875 |
transcript.pyannote[46].end |
111.86159375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
112.51971875 |
transcript.pyannote[47].end |
113.05971875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
114.13971875 |
transcript.pyannote[48].end |
115.01721875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
115.75971875 |
transcript.pyannote[49].end |
116.78909375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
117.66659375 |
transcript.pyannote[50].end |
118.64534375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
119.08409375 |
transcript.pyannote[51].end |
120.75471875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
121.75034375 |
transcript.pyannote[52].end |
122.23971875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
123.15096875 |
transcript.pyannote[53].end |
123.60659375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
123.94409375 |
transcript.pyannote[54].end |
124.82159375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
125.74971875 |
transcript.pyannote[55].end |
126.96471875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
127.89284375 |
transcript.pyannote[56].end |
129.52971875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
131.50409375 |
transcript.pyannote[57].end |
132.01034375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
132.98909375 |
transcript.pyannote[58].end |
134.27159375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
135.04784375 |
transcript.pyannote[59].end |
135.53721875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
136.48221875 |
transcript.pyannote[60].end |
137.03909375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
137.52846875 |
transcript.pyannote[61].end |
138.45659375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
139.55346875 |
transcript.pyannote[62].end |
140.61659375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
141.44346875 |
transcript.pyannote[63].end |
142.59096875 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
143.45159375 |
transcript.pyannote[64].end |
144.56534375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
145.22346875 |
transcript.pyannote[65].end |
146.84346875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
147.70409375 |
transcript.pyannote[66].end |
149.37471875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
149.86409375 |
transcript.pyannote[67].end |
150.13409375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
150.67409375 |
transcript.pyannote[68].end |
151.24784375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
150.96096875 |
transcript.pyannote[69].end |
152.37846875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
153.12096875 |
transcript.pyannote[70].end |
153.49221875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
153.67784375 |
transcript.pyannote[71].end |
154.96034375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
155.38221875 |
transcript.pyannote[72].end |
156.09096875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
156.39471875 |
transcript.pyannote[73].end |
159.01034375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
159.33096875 |
transcript.pyannote[74].end |
161.50784375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
162.28409375 |
transcript.pyannote[75].end |
168.66284375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
168.88221875 |
transcript.pyannote[76].end |
171.26159375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
171.37971875 |
transcript.pyannote[77].end |
188.96346875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
187.73159375 |
transcript.pyannote[78].end |
189.23346875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
189.14909375 |
transcript.pyannote[79].end |
191.78159375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
191.42721875 |
transcript.pyannote[80].end |
191.62971875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
191.86596875 |
transcript.pyannote[81].end |
193.03034375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
193.75596875 |
transcript.pyannote[82].end |
196.65846875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
197.14784375 |
transcript.pyannote[83].end |
197.97471875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
198.56534375 |
transcript.pyannote[84].end |
200.35409375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
201.04596875 |
transcript.pyannote[85].end |
205.68659375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
206.24346875 |
transcript.pyannote[86].end |
216.55409375 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
215.27159375 |
transcript.pyannote[87].end |
219.87846875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
220.33409375 |
transcript.pyannote[88].end |
223.00034375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
223.54034375 |
transcript.pyannote[89].end |
224.90721875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
225.09284375 |
transcript.pyannote[90].end |
226.51034375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
226.91534375 |
transcript.pyannote[91].end |
227.60721875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
228.06284375 |
transcript.pyannote[92].end |
228.73784375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
228.94034375 |
transcript.pyannote[93].end |
229.58159375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
229.80096875 |
transcript.pyannote[94].end |
231.26909375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
231.53909375 |
transcript.pyannote[95].end |
232.46721875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
233.44596875 |
transcript.pyannote[96].end |
234.84659375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
235.53846875 |
transcript.pyannote[97].end |
237.22596875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
238.32284375 |
transcript.pyannote[98].end |
246.65909375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
244.06034375 |
transcript.pyannote[99].end |
244.44846875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
246.76034375 |
transcript.pyannote[100].end |
248.88659375 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
249.24096875 |
transcript.pyannote[101].end |
250.64159375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
251.41784375 |
transcript.pyannote[102].end |
252.39659375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
253.00409375 |
transcript.pyannote[103].end |
257.10471875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
257.49284375 |
transcript.pyannote[104].end |
258.26909375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
258.75846875 |
transcript.pyannote[105].end |
259.16346875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
259.29846875 |
transcript.pyannote[106].end |
260.04096875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
260.42909375 |
transcript.pyannote[107].end |
263.34846875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
263.80409375 |
transcript.pyannote[108].end |
269.89596875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
270.72284375 |
transcript.pyannote[109].end |
284.93159375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
283.21034375 |
transcript.pyannote[110].end |
283.63221875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
284.44221875 |
transcript.pyannote[111].end |
286.66971875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
287.07471875 |
transcript.pyannote[112].end |
296.99721875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
297.87471875 |
transcript.pyannote[113].end |
300.03471875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
300.47346875 |
transcript.pyannote[114].end |
301.26659375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
301.89096875 |
transcript.pyannote[115].end |
307.20659375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
307.42596875 |
transcript.pyannote[116].end |
314.56409375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
315.07034375 |
transcript.pyannote[117].end |
318.83346875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
319.55909375 |
transcript.pyannote[118].end |
320.62221875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
320.70659375 |
transcript.pyannote[119].end |
322.30971875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
322.73159375 |
transcript.pyannote[120].end |
325.61721875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
325.65096875 |
transcript.pyannote[121].end |
325.68471875 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
325.70159375 |
transcript.pyannote[122].end |
326.91659375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
327.50721875 |
transcript.pyannote[123].end |
327.96284375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
328.94159375 |
transcript.pyannote[124].end |
329.59971875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
329.88659375 |
transcript.pyannote[125].end |
331.10159375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
331.35471875 |
transcript.pyannote[126].end |
332.48534375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
333.64971875 |
transcript.pyannote[127].end |
334.83096875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
335.84346875 |
transcript.pyannote[128].end |
337.09221875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
337.81784375 |
transcript.pyannote[129].end |
338.47596875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
338.66159375 |
transcript.pyannote[130].end |
340.82159375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
341.63159375 |
transcript.pyannote[131].end |
343.69034375 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
344.44971875 |
transcript.pyannote[132].end |
347.18346875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
347.58846875 |
transcript.pyannote[133].end |
348.90471875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
349.29284375 |
transcript.pyannote[134].end |
350.23784375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
351.16596875 |
transcript.pyannote[135].end |
353.93346875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
355.06409375 |
transcript.pyannote[136].end |
356.19471875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
357.05534375 |
transcript.pyannote[137].end |
357.67971875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
358.23659375 |
transcript.pyannote[138].end |
363.63659375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
364.21034375 |
transcript.pyannote[139].end |
366.08346875 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
366.69096875 |
transcript.pyannote[140].end |
368.04096875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
369.27284375 |
transcript.pyannote[141].end |
370.08284375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
370.84221875 |
transcript.pyannote[142].end |
374.31846875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
374.95971875 |
transcript.pyannote[143].end |
375.93846875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
377.42346875 |
transcript.pyannote[144].end |
389.82659375 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
390.11346875 |
transcript.pyannote[145].end |
391.22721875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
391.34534375 |
transcript.pyannote[146].end |
416.32034375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
409.24971875 |
transcript.pyannote[147].end |
410.07659375 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
413.02971875 |
transcript.pyannote[148].end |
413.33346875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
414.71721875 |
transcript.pyannote[149].end |
416.59034375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
416.89409375 |
transcript.pyannote[150].end |
422.22659375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
423.62721875 |
transcript.pyannote[151].end |
428.30159375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
428.80784375 |
transcript.pyannote[152].end |
431.72721875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
432.55409375 |
transcript.pyannote[153].end |
434.03909375 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
434.34284375 |
transcript.pyannote[154].end |
434.91659375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
435.67596875 |
transcript.pyannote[155].end |
437.05971875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
437.34659375 |
transcript.pyannote[156].end |
439.03409375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
440.02971875 |
transcript.pyannote[157].end |
448.14659375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
448.31534375 |
transcript.pyannote[158].end |
449.27721875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
450.30659375 |
transcript.pyannote[159].end |
450.76221875 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
451.23471875 |
transcript.pyannote[160].end |
453.17534375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
454.13721875 |
transcript.pyannote[161].end |
454.71096875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
455.09909375 |
transcript.pyannote[162].end |
455.80784375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
456.31409375 |
transcript.pyannote[163].end |
457.29284375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
457.66409375 |
transcript.pyannote[164].end |
458.65971875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
459.48659375 |
transcript.pyannote[165].end |
460.09409375 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
460.71846875 |
transcript.pyannote[166].end |
462.54096875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
462.64221875 |
transcript.pyannote[167].end |
463.40159375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
463.94159375 |
transcript.pyannote[168].end |
466.55721875 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
466.77659375 |
transcript.pyannote[169].end |
468.80159375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
469.56096875 |
transcript.pyannote[170].end |
470.75909375 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
472.15971875 |
transcript.pyannote[171].end |
472.68284375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
472.95284375 |
transcript.pyannote[172].end |
475.19721875 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
475.87221875 |
transcript.pyannote[173].end |
477.08721875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
477.69471875 |
transcript.pyannote[174].end |
478.08284375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
479.07846875 |
transcript.pyannote[175].end |
481.03596875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
481.72784375 |
transcript.pyannote[176].end |
483.92159375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
485.25471875 |
transcript.pyannote[177].end |
485.82846875 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
486.67221875 |
transcript.pyannote[178].end |
487.21221875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
487.63409375 |
transcript.pyannote[179].end |
489.55784375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
490.03034375 |
transcript.pyannote[180].end |
490.92471875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
490.97534375 |
transcript.pyannote[181].end |
491.02596875 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
491.04284375 |
transcript.pyannote[182].end |
491.97096875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
492.69659375 |
transcript.pyannote[183].end |
495.49784375 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
496.49346875 |
transcript.pyannote[184].end |
497.92784375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
499.49721875 |
transcript.pyannote[185].end |
502.45034375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
503.80034375 |
transcript.pyannote[186].end |
505.06596875 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
505.67346875 |
transcript.pyannote[187].end |
508.91346875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
509.38596875 |
transcript.pyannote[188].end |
513.50346875 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
514.12784375 |
transcript.pyannote[189].end |
515.89971875 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
516.77721875 |
transcript.pyannote[190].end |
518.12721875 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
519.03846875 |
transcript.pyannote[191].end |
520.48971875 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
521.21534375 |
transcript.pyannote[192].end |
524.15159375 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
525.55221875 |
transcript.pyannote[193].end |
579.31596875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
564.24659375 |
transcript.pyannote[194].end |
564.55034375 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
578.62409375 |
transcript.pyannote[195].end |
581.49284375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
579.78846875 |
transcript.pyannote[196].end |
581.56034375 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
581.81346875 |
transcript.pyannote[197].end |
583.01159375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
581.84721875 |
transcript.pyannote[198].end |
589.81221875 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
588.44534375 |
transcript.pyannote[199].end |
593.69346875 |
transcript.pyannote[200].speaker |
SPEAKER_00 |
transcript.pyannote[200].start |
594.25034375 |
transcript.pyannote[200].end |
596.47784375 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
597.89534375 |
transcript.pyannote[201].end |
601.03409375 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
601.42221875 |
transcript.pyannote[202].end |
603.04221875 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
604.12221875 |
transcript.pyannote[203].end |
606.01221875 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
606.34971875 |
transcript.pyannote[204].end |
607.10909375 |
transcript.pyannote[205].speaker |
SPEAKER_00 |
transcript.pyannote[205].start |
607.53096875 |
transcript.pyannote[205].end |
608.32409375 |
transcript.pyannote[206].speaker |
SPEAKER_00 |
transcript.pyannote[206].start |
608.67846875 |
transcript.pyannote[206].end |
610.12971875 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
610.65284375 |
transcript.pyannote[207].end |
613.04909375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
614.16284375 |
transcript.pyannote[208].end |
615.31034375 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
615.85034375 |
transcript.pyannote[209].end |
616.54221875 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
616.99784375 |
transcript.pyannote[210].end |
623.52846875 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
623.84909375 |
transcript.pyannote[211].end |
625.08096875 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
625.82346875 |
transcript.pyannote[212].end |
628.25346875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
628.33784375 |
transcript.pyannote[213].end |
630.46409375 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
631.99971875 |
transcript.pyannote[214].end |
632.03346875 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
632.03346875 |
transcript.pyannote[215].end |
635.18909375 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
632.05034375 |
transcript.pyannote[216].end |
634.86846875 |
transcript.pyannote[217].speaker |
SPEAKER_00 |
transcript.pyannote[217].start |
634.91909375 |
transcript.pyannote[217].end |
634.93596875 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
635.20596875 |
transcript.pyannote[218].end |
640.80846875 |
transcript.pyannote[219].speaker |
SPEAKER_01 |
transcript.pyannote[219].start |
637.46721875 |
transcript.pyannote[219].end |
637.78784375 |
transcript.pyannote[220].speaker |
SPEAKER_00 |
transcript.pyannote[220].start |
641.02784375 |
transcript.pyannote[220].end |
641.82096875 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
641.97284375 |
transcript.pyannote[221].end |
644.16659375 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
644.38596875 |
transcript.pyannote[222].end |
646.39409375 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
647.28846875 |
transcript.pyannote[223].end |
649.04346875 |
transcript.pyannote[224].speaker |
SPEAKER_00 |
transcript.pyannote[224].start |
649.87034375 |
transcript.pyannote[224].end |
650.54534375 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
651.35534375 |
transcript.pyannote[225].end |
651.89534375 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
652.23284375 |
transcript.pyannote[226].end |
652.85721875 |
transcript.pyannote[227].speaker |
SPEAKER_00 |
transcript.pyannote[227].start |
653.39721875 |
transcript.pyannote[227].end |
654.35909375 |
transcript.pyannote[228].speaker |
SPEAKER_00 |
transcript.pyannote[228].start |
654.91596875 |
transcript.pyannote[228].end |
655.57409375 |
transcript.pyannote[229].speaker |
SPEAKER_00 |
transcript.pyannote[229].start |
656.09721875 |
transcript.pyannote[229].end |
656.83971875 |
transcript.pyannote[230].speaker |
SPEAKER_00 |
transcript.pyannote[230].start |
657.14346875 |
transcript.pyannote[230].end |
658.40909375 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
658.40909375 |
transcript.pyannote[231].end |
663.74159375 |
transcript.pyannote[232].speaker |
SPEAKER_00 |
transcript.pyannote[232].start |
662.64471875 |
transcript.pyannote[232].end |
666.25596875 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
666.55971875 |
transcript.pyannote[233].end |
666.57659375 |
transcript.pyannote[234].speaker |
SPEAKER_01 |
transcript.pyannote[234].start |
666.57659375 |
transcript.pyannote[234].end |
666.61034375 |
transcript.pyannote[235].speaker |
SPEAKER_00 |
transcript.pyannote[235].start |
666.61034375 |
transcript.pyannote[235].end |
666.74534375 |
transcript.pyannote[236].speaker |
SPEAKER_01 |
transcript.pyannote[236].start |
666.74534375 |
transcript.pyannote[236].end |
667.69034375 |
transcript.pyannote[237].speaker |
SPEAKER_00 |
transcript.pyannote[237].start |
667.69034375 |
transcript.pyannote[237].end |
667.90971875 |
transcript.pyannote[238].speaker |
SPEAKER_00 |
transcript.pyannote[238].start |
668.63534375 |
transcript.pyannote[238].end |
669.00659375 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
669.00659375 |
transcript.pyannote[239].end |
672.16221875 |
transcript.pyannote[240].speaker |
SPEAKER_00 |
transcript.pyannote[240].start |
670.55909375 |
transcript.pyannote[240].end |
680.44784375 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
672.39846875 |
transcript.pyannote[241].end |
672.83721875 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
678.94596875 |
transcript.pyannote[242].end |
679.40159375 |
transcript.pyannote[243].speaker |
SPEAKER_01 |
transcript.pyannote[243].start |
680.44784375 |
transcript.pyannote[243].end |
680.78534375 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
681.39284375 |
transcript.pyannote[244].end |
681.74721875 |
transcript.pyannote[245].speaker |
SPEAKER_01 |
transcript.pyannote[245].start |
681.74721875 |
transcript.pyannote[245].end |
683.67096875 |
transcript.pyannote[246].speaker |
SPEAKER_00 |
transcript.pyannote[246].start |
682.20284375 |
transcript.pyannote[246].end |
682.57409375 |
transcript.pyannote[247].speaker |
SPEAKER_00 |
transcript.pyannote[247].start |
686.08409375 |
transcript.pyannote[247].end |
688.44659375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
689.35784375 |
transcript.pyannote[248].end |
689.59409375 |
transcript.whisperx[0].start |
0.089 |
transcript.whisperx[0].end |
23.759 |
transcript.whisperx[0].text |
接下來請羅明才委員質詢主席,個人出列席、官員等,隨刻請莊部長請莊部長副稅署、宋署長副稅署部長委員好4月3號大地震 |
transcript.whisperx[1].start |
24.656 |
transcript.whisperx[1].end |
53.017 |
transcript.whisperx[1].text |
到現在目前為止,可以說傷亡非常的慘重。其實目前這個死了多少人?當然都在,就我所知花蓮地區吧,因為那個數字每天都在變,尤其在那個沙卡當步道裡面有蠻多的往生,以及在那個天王星的那個部分也有往生的民眾。我看到的畫面,觸目驚心。 |
transcript.whisperx[2].start |
54.636 |
transcript.whisperx[2].end |
70.921 |
transcript.whisperx[2].text |
不只花蓮,其實在你前面的這個照片,看得到嗎?它是一整排的房子,在一瞬間,八戶全部坍塌。部長。 |
transcript.whisperx[3].start |
75.424 |
transcript.whisperx[3].end |
102.538 |
transcript.whisperx[3].text |
我們是不是為這些受傷為這些死亡的我們親愛的民眾我們也一起默哀一下好啊好謝謝在這個默哀的這個同時啊我也提醒部長啊莫忘世上苦人多真的人民現在苦哈哈 |
transcript.whisperx[4].start |
103.735 |
transcript.whisperx[4].end |
131.756 |
transcript.whisperx[4].text |
我在第一時間我到現場去看你看這個整個就這樣坍塌人民的生命財產一瞬間就化為無有部長你剛才講所提到的都是花蓮花蓮我們責無旁貸全力支持因為他們都是我們的人民 |
transcript.whisperx[5].start |
133.032 |
transcript.whisperx[5].end |
161.175 |
transcript.whisperx[5].text |
都是我們的同胞那部長那像安坑地區這一片災民是不是也比照花蓮的受災戶一起大家來關心他們是的那應該的應該的是可以齁都應該給你關懷對那請財務部多多協助是的會的我們一定會盡全力協助所以那請問這個標準都是一致的嗎 |
transcript.whisperx[6].start |
162.775 |
transcript.whisperx[6].end |
191.263 |
transcript.whisperx[6].text |
呃基本上標準是一致但是我們一定會從寬來從幽的然後協助呃災民們看有什麼樣的呃租稅的一個租稅的一個幫他們協助渡過這個難關然後不管是減徵啊或等等那另外如果像我們還有提出像國有土如果他是租國有土地的話那租金也可以往後也或者免繳因為他已經受損了嘛所以租金的部分還有使用補償金的部分都有一些檢控或還交對我們的措施都會及時的跟上是 |
transcript.whisperx[7].start |
191.943 |
transcript.whisperx[7].end |
219.486 |
transcript.whisperx[7].text |
在第一時間我就拜託你支援財政部馬上過財產署是曾署長這邊馬上就調度協調前面一整片空地供災民停車調度使用所以在這裡也代表我們災區謝謝財政部所做的第一時間的協助也謝謝委員告訴我們然後我們也可以及時的因應 |
transcript.whisperx[8].start |
220.387 |
transcript.whisperx[8].end |
237.026 |
transcript.whisperx[8].text |
是 謝謝我們就是將心比心在同一個時間大家不分你我一起來做災禍重建的這個工作那我想請問部長現在這個愛心捐款大概已經捐了多少 |
transcript.whisperx[9].start |
238.336 |
transcript.whisperx[9].end |
249.921 |
transcript.whisperx[9].text |
委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴士葆等16人、委員賴 |
transcript.whisperx[10].start |
253.172 |
transcript.whisperx[10].end |
269.005 |
transcript.whisperx[10].text |
這是安坑安泰路這附近的所有的這個災民啊也可以受到政府一點點關愛的眼神這比照花蓮的受災戶一樣能有一些實質上的幫助 |
transcript.whisperx[11].start |
271.279 |
transcript.whisperx[11].end |
296.441 |
transcript.whisperx[11].text |
這個部分我想看看因為衛福部這邊也有一個專戶我不知道他們在運用上是不是有可以有一些可以幫助我們在不只是花蓮其他地區受災戶也可以獲得相關的補助是拜託協調一下是謝謝另外我們再來講今天的這些所得稅法17條這個15條等等的我在聽起來 |
transcript.whisperx[12].start |
297.93 |
transcript.whisperx[12].end |
326.698 |
transcript.whisperx[12].text |
部長那你這裡面我覺得像謝龍介委員等所提的就對一些子女的照顧還有一些魯明哲賴士葆所提的委員所提的列舉扣除額的部分保險費列舉扣除額有的是健康檢查還有另外大家今天討論比較多的也是本席長期來最關心的其實我關心的 |
transcript.whisperx[13].start |
329.197 |
transcript.whisperx[13].end |
355.745 |
transcript.whisperx[13].text |
這個區域啊我最關心的是年輕人的照顧老人的照顧女性的照顧以及學齡前小朋友的照顧我覺得這個都是非常重要的所以剛剛所提的長照特別扣主額的部分有人說提到可以12萬提高到36萬還有包括 |
transcript.whisperx[14].start |
358.314 |
transcript.whisperx[14].end |
375.547 |
transcript.whisperx[14].text |
呃王振旭王委員所提的這是健康檢查每個人可以有1萬塊這些案子我覺得都非常好本席全部都支持那請問部長這些照顧人民好的這個修正條例你有沒有反對的 |
transcript.whisperx[15].start |
377.632 |
transcript.whisperx[15].end |
401.119 |
transcript.whisperx[15].text |
我知道委員是充滿著愛心不管對老、少、婦女同胞都非常的關懷那有關相關的扣除額這個部分因為涉及到這個所得稅法裡面整個提案非常的多包含扣除額的項目、扣除額的金額或者是說它適用的範圍那委員都有非常多的建議我想這個部分財政部都會把它收納起來然後做一個通盤的考量 |
transcript.whisperx[16].start |
402.179 |
transcript.whisperx[16].end |
421.691 |
transcript.whisperx[16].text |
因為這個部分涉及到整個國家財政的一個穩健以及我們的租稅公平還有財政收入跟積增的一個變化等著我們會一起來通盤做考量我想各委員的提案都有他的一個非常好的用途你如果講這句話我可能考慮說我們就都不休息喔24小時開下去喔因為你不要每次來你對我們的態度都是說在研究在討論沒有一次是很大方的讓人 |
transcript.whisperx[17].start |
432.571 |
transcript.whisperx[17].end |
458.047 |
transcript.whisperx[17].text |
我對你的印象其實就是很棒很認真但是唯一一點就是小氣你不要讓小氣部長的這幾個字深深的留在每個委員的腦海裡面這個不好啦你看你長得年輕貌美然後又是婀娜多姿又是專業為什麼 |
transcript.whisperx[18].start |
460.765 |
transcript.whisperx[18].end |
485.611 |
transcript.whisperx[18].text |
莫把這些好的印象繼續把你愛心對人民的關懷就一次性的展現出來啊不要扭扭捏捏的這個是所有的委員不分黨派剛剛對長照對女性生理期的這個支持我聽半天沒有人反對啊那因為我 |
transcript.whisperx[19].start |
486.724 |
transcript.whisperx[19].end |
515.603 |
transcript.whisperx[19].text |
站在這個坐在台上當召委其實我覺得很難過啊就是老百姓現在生活很痛苦啊所有的物價飆漲滷肉飯一碗25千漲到50塊人民啊已經被生活負擔的壓力壓到喘不過氣來包括本席所以特別希望說為這些年輕人為這些純古族 |
transcript.whisperx[20].start |
517.484 |
transcript.whisperx[20].end |
541.802 |
transcript.whisperx[20].text |
來爭取一些對他們的關懷那這個部分部長是不是也應該要支持一下啊委員一直都苦民所苦把這個對民眾的關懷都放在心上以及一直對行政機關有所督促那我想這個部分委員也提了一個提案也就是對於我們的鼓勵所得裡面的扣角的比例 |
transcript.whisperx[21].start |
542.242 |
transcript.whisperx[21].end |
545.524 |
transcript.whisperx[21].text |
賴慧琪等19人、委員賴慧琪等19人、委員賴慧琪等19人、委員賴慧琪等19人、委員賴慧琪等19人、委員賴慧琪等19人、委員賴慧琪等19人、委員賴慧琪等19人、委員賴慧琪等19人、委員賴慧琪等19人、委員賴慧琪等19人、委員賴慧琪等19人、委員賴慧琪等19人、委員賴慧琪等19人、委員 |
transcript.whisperx[22].start |
562.572 |
transcript.whisperx[22].end |
578.066 |
transcript.whisperx[22].text |
賴慧琪等194萬的鼓勵所得,而且投資金額會到2000多萬,所以我們認為這個金額其實已經蠻高,而且在試用上的民眾並沒有都能夠通通試用到那麼多,他大概一般投資人都可以用到,都沒有用到上限啦,其實這個上限都已經夠用了。這個存補足大概有多少人? |
transcript.whisperx[23].start |
581.929 |
transcript.whisperx[23].end |
602.574 |
transcript.whisperx[23].text |
村鼓族我們目前來說,我們可能回去再看一下在鼓勵所得裡面的一個人數。現在台灣的年輕人他沒有什麼投資的管道,如果有的話可能就被詐騙。那要麼就是定存,那定存利息又那麼低,那你叫這些年輕人怎麼辦? |
transcript.whisperx[24].start |
604.161 |
transcript.whisperx[24].end |
630.077 |
transcript.whisperx[24].text |
就應該鼓勵他們多多來愛台灣買台股買好的股票然後跟他一生一世永相隨你現在看嘛舉例台積電你如果說20年前有這樣的一個存股的概念你就一直放著一直放著嘛等他配股配息那不就跟著經濟的成長然後享受經濟的紅利了嗎 |
transcript.whisperx[25].start |
632.765 |
transcript.whisperx[25].end |
648.214 |
transcript.whisperx[25].text |
因為時間關係部長請多多站在民眾的立場多多從這個角度來出發更何況在下個月搞不好都看不到你了賴清德賴總統 |
transcript.whisperx[26].start |
651.394 |
transcript.whisperx[26].end |
680.607 |
transcript.whisperx[26].text |
有沒有徵詢你?或者是說卓榮泰、中院長有沒有來諮詢過你?我想這個部分我就把我現在的工作做好其他我都沒有去多講那既然你這句話你就趁你最後的一個月讓它發光發亮啊委員的指教拜託部長多做一點好的事情讓你的這些政績可以長留人心至少讓大家懷念你啊是 |
transcript.whisperx[27].start |
681.411 |
transcript.whisperx[27].end |
682.132 |
transcript.whisperx[27].text |
好,謝謝委員指教。 |