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首页> 外文期刊>ACM transactions on accessible computing >Making Emergency Calls More Accessible to Older Adults Through a Hands-free Speech Interface in the House
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Making Emergency Calls More Accessible to Older Adults Through a Hands-free Speech Interface in the House

机译：通过房屋内的免提语音界面，使老年人更容易拨打紧急电话

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Wearable personable emergency response (PER) systems are the mainstream solution for allowing frail and isolated individuals to call for help in an emergency. However, these devices are not well adapted to all users and are often not worn all the time, meaning they are not available when needed. This article presents a Voice User Interface system for emergency-call recognition. The interface is designed to permit hands-free interaction using natural language. Crucially, this allows a call for help to be registered without necessitating physical proximity to the system. The system is based on an ASR engine and is tested on a corpus collected to simulate realistic situations. The corpus contains French speech from 4 older adults and 13 younger people wearing an old-age simulator to hamper their mobility, vision, and hearing. On-line evaluation of the preliminary system showed an emergency-call error rate of 27%. Subsequent off-line experimentation improved the results (call error rate 24%), demonstrating that emergency-call recognition in the home is achievable. Another contribution of this work is the corpus, which is made available for research with the hope that it will facilitate related research and quicker development of robust methods for automatic emergency-call recognition in the home.
机译：可穿戴的个性化紧急响应（PER）系统是允许脆弱且孤立的个人在紧急情况下寻求帮助的主流解决方案。但是，这些设备不能很好地适合所有用户，并且通常不会一直穿着，这意味着它们在需要时不可用。本文介绍了用于紧急呼叫识别的语音用户界面系统。该界面旨在允许使用自然语言进行免提交互。至关重要的是，这允许在无需物理接近系统的情况下记录寻求帮助的电话。该系统基于ASR引擎，并在收集的语料库上进行了测试以模拟现实情况。语料库包含4名老年人和13名年轻人的法语讲话，他们戴着老年模拟器来阻碍他们的活动能力，视力和听力。初步系统的在线评估显示紧急呼叫错误率为27％。随后的离线实验改进了结果（通话错误率达24％），表明可以在家中进行紧急呼叫识别。这项工作的另一个贡献是语料库，该语料库可用于研究，希望能促进相关研究并更快地开发出用于家庭中自动紧急呼叫识别的可靠方法。

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