跟讀練習: Facial recognition technology facing backlash - 通過影片學習英語口語
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24 句
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All new this half hour on Denver 7, San Francisco could become the first city in the country to ban police from using facial recognition technology.
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And look around, there are cameras just about everywhere for security and for traffic.
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So we know it might seem a little creepy to think about, but critics are more concerned about what can be done with the video recorded.
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Nicole Brady is live on the 16th Street Mall in Denver for us this morning.
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No shortage of cameras there either.
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And Nicole, tell us what you've learned about facial recognition technology here.
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Well, if you weren't sure as to how prevalent this was, all you need to do is pull out your driver's license, right?
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Remember, three years ago, the state told us we could no longer smile in our driver's license
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because they need a face that works with facial recognition technology.
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This is already being used in airports, at big events like concerts.
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And then, as you mentioned, in Denver, we certainly see cameras all over the city, those halo cameras Denver police use for security.
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But we asked Denver police yesterday, and they told us right now they are not using facial recognition applications.
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The Colorado Bureau of Investigation, meanwhile, does use this technology to take images of people and compare them to mugshots in the federal database.
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CBI told us yesterday it has not used this on any high -profile investigations yet, and they are still developing policies and training surrounding it.
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Critics take issue with the argument that this is about safety, saying there are problems that this technology has with accuracy and racial bias.
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With Caucasian faces, facial recognition is pretty good, meaning it has a 90 to 95 percent accuracy rate.
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But with minorities, sometimes the accuracy rate drops to 70 percent.
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And the Colorado Bureau of Investigation was considering purchasing a type of software
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that can track people in real time and identify them by their face,
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but they decided not to pursue that any further and are just using the one that matches up to mugshots.
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Some believe the vote in San Francisco today could have bigger implications, maybe leading other cities to consider more restrictions on this.
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Major tech companies like Microsoft and Amazon have opposed outright bans on facial recognition,
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but say that yeah, it's kind of creepy in some cases and probably does need some regulation.
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We're live Along the 16th Street Mall, Nicole Brady, Denver 7.
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本課的詞彙與口語要點
這節口語課以影片“Facial recognition technology facing backlash”為素材。 影片中反覆出現的詞有：facial, Denver, recognition, technology, cameras。 這段影片共有 24 個句子、411 個單詞可供跟讀。 講話部分時長為 2:20。 說話人語速自然，每分鐘約 176 個詞，接近日常對話。 82% 的單詞屬於英語最常用的 3,000 詞，其餘的詞建議在練習前先學一下。
影片中的重點詞彙
影片中 15 個值得學習的單詞，附發音和釋義：
| 單詞 | 發音 | 釋義 |
|---|---|---|
| recognition 名詞 | /ˌɹɛkəɡˈnɪʃ(ə)n/ | 認出 /認出 |
| facial 形容詞 | /ˈfeɪ.ʃəl/ | 面, 顏面的 /顏面的 |
| accuracy 名詞 | /ˈæk.jɚ.ə.si/ | 準確度 /準確度, 準確性 /準確性 |
| creepy 形容詞 | /ˈkɹipi/ | 詭異 /詭異, 嚇人 /嚇人 |
| critic 名詞 | /ˈkɹɪt.ɪk/ | 批評家 /批評家, 評論家 /評論家 |
| meanwhile 副詞 | /ˈmiːnwaɪl/ | 同時 /同時 |
| compare 動詞 | /kəmˈpɛɚ/ | 比, 比較 /比較 |
| minority 名詞 | /maɪˈnɒɹ.ɪ.ti/ | 少數 /少數 |
| regulation 名詞 | /ˌɹɛɡjʊˈleɪʃən/ | 規則 /規則, 規例 /規例 |
| database 名詞 | /ˈdeɪtəˌbeɪs/ | 資料庫 /資料庫 |
| pursue 動詞 | /pɚˈsu/ | 追求 |
| bias 名詞 | /ˈbaɪ.əs/ | 偏見 /偏見 |
| oppose 動詞 | /əˈpoʊz/ | 阻止, 對抗 /對抗 |
| shortage 名詞 | /ˈʃɔː(ɹ)tɪd͡ʒ/ | 短缺, 緊缺 /緊缺 |
| outright 副詞 | /aʊtˈɹaɪt/ | 完全地 |
影片中出現的短語動詞
| 單詞 | 釋義 |
|---|---|
| look around 動詞 | 環顧 /環顧 |
需要注意的發音
說話人用了 3 次縮略和弱讀形式，例如 we're, weren't, you've。請按聽到的簡短形式來說。
- “sh” 和 “zh” 音: recognition /ˌɹɛkəɡˈnɪʃ(ə)n/, facial /ˈfeɪ.ʃəl/, regulation /ˌɹɛɡjʊˈleɪʃən/, racial /ˈɹeɪʃəl/, shortage /ˈʃɔː(ɹ)tɪd͡ʒ/
- 長單詞——注意重音位置: recognition /ˌɹɛkəɡˈnɪʃ(ə)n/, accuracy /ˈæk.jɚ.ə.si/, minority /maɪˈnɒɹ.ɪ.ti/, regulation /ˌɹɛɡjʊˈleɪʃən/, implication /ˌɪmpləˈkeɪʃən/
中文母語者容易讀錯的音：
- 詞尾子音 — 要讀清楚，後面不要加母音: critic /ˈkɹɪt.ɪk/, database /ˈdeɪtəˌbeɪs/, bias /ˈbaɪ.əs/, oppose /əˈpoʊz/, shortage /ˈʃɔː(ɹ)tɪd͡ʒ/
- /r/ 和 /l/ 的區別: regulation /ˌɹɛɡjʊˈleɪʃən/, racial /ˈɹeɪʃəl/, prevalent /ˈpɹɛvələnt/
如何用這段影片練習
- 先完整聽一遍影片，不要開口，記下不認識的單詞。
- 先用 0.75 倍速逐句跟讀，熟練之後再回到正常速度。
- 錄下自己的聲音並與原聲對比，特別注意 recognition, facial, accuracy 這類單詞。
什麼是跟讀法？
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。