跟读练习: Facial recognition technology facing backlash - 通过视频学习英语口语
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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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本课的词汇与口语要点
这节口语课以视频“Facial recognition technology facing backlash”为素材。 视频中反复出现的词有：facial, Denver, recognition, technology, cameras。 这段视频共有 24 个句子、411 个单词可供跟读。 讲话部分时长为 2:20。 说话人语速自然，每分钟约 176 个词，接近日常对话。 82% 的单词属于英语最常用的 3,000 词，其余的词建议在练习前先学一下。
视频中的重点词汇
视频中 15 个值得学习的单词，附发音和释义：
| 单词 | 发音 | 释义 |
|---|---|---|
| recognition 名词 | /ˌɹɛkəɡˈnɪʃ(ə)n/ | 認出 /认出 |
| facial 形容词 | /ˈfeɪ.ʃəl/ | 面, 顏面的 /颜面的 |
| accuracy 名词 | /ˈæk.jɚ.ə.si/ | 準確度 /准确度, 準確性 /准确性 |
| creepy 形容词 | /ˈkɹipi/ | 詭異 /诡异, 嚇人 /吓人 |
| critic 名词 | /ˈkɹɪt.ɪk/ | 批評家 /批评家, 評論家 /评论家 |
| meanwhile 副词 | /ˈmiːnwaɪl/ | 同時 /同时 |
| compare 动词 | /kəmˈpɛɚ/ | 比, 比較 /比较 |
| minority 名词 | /maɪˈnɒɹ.ɪ.ti/ | 少數 /少数 |
| regulation 名词 | /ˌɹɛɡjʊˈleɪʃən/ | 規則 /规则, 規例 /规例 |
| database 名词 | /ˈdeɪtəˌbeɪs/ | 數據庫 /数据库 |
| pursue 动词 | /pɚˈsu/ | 追求 |
| bias 名词 | /ˈbaɪ.əs/ | 偏見 /偏见 |
| oppose 动词 | /əˈpoʊz/ | 阻止, 對抗 /对抗 |
| shortage 名词 | /ˈʃɔː(ɹ)tɪd͡ʒ/ | 短缺, 緊缺 /紧缺 |
| outright 副词 | /aʊtˈɹaɪt/ | 完全地 |
视频中出现的短语动词
| 单词 | 释义 |
|---|---|
| look around 动词 | 環顧 /环顾 |
需要注意的发音
说话人用了 3 次缩略和弱读形式，例如 we're, weren't, you've。请按听到的简短形式来说。
- “sh” 和 “zh” 音: recognition /ˌɹɛkəɡˈnɪʃ(ə)n/, facial /ˈfeɪ.ʃəl/, regulation /ˌɹɛɡjʊˈleɪʃən/, racial /ˈɹeɪʃəl/, shortage /ˈʃɔː(ɹ)tɪd͡ʒ/
- 长单词——注意重音位置: recognition /ˌɹɛkəɡˈnɪʃ(ə)n/, accuracy /ˈæk.jɚ.ə.si/, minority /maɪˈnɒɹ.ɪ.ti/, regulation /ˌɹɛɡjʊˈleɪʃən/, implication /ˌɪmpləˈkeɪʃən/
中文母语者容易读错的音：
- 词尾辅音 — 要读清楚，后面不要加元音: critic /ˈkɹɪt.ɪk/, database /ˈdeɪtəˌbeɪs/, bias /ˈbaɪ.əs/, oppose /əˈpoʊz/, shortage /ˈʃɔː(ɹ)tɪd͡ʒ/
- /r/ 和 /l/ 的区别: regulation /ˌɹɛɡjʊˈleɪʃən/, racial /ˈɹeɪʃəl/, prevalent /ˈpɹɛvələnt/
如何用这段视频练习
- 先完整听一遍视频，不要开口，记下不认识的单词。
- 先用 0.75 倍速逐句跟读，熟练之后再回到正常速度。
- 录下自己的声音并与原声对比，特别注意 recognition, facial, accuracy 这类单词。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。