Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals
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使用自动语音识别聋哑人和听力障碍人士声音的可行性
DOI：
10.1145/3132525.3134819
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
R. Kushalnagar
中科院分区：
文献类型：
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作者：
Abraham Glasser;Kesavan R. Kushalnagar;R. Kushalnagar
许多个人设备已经从视觉控制界面过渡到语音控制界面，以降低成本和交互摩擦，这得益于语音控制界面功能的快速增长，例如亚马逊Echo或苹果的Siri。其后果是，失聪或重听的人可能无法使用这些语音控制设备。研究表明，在商业语音控制接口中，失聪语音比正常语音具有较高的错误率。聋人语言的单词错误率（WER）约为78%，而正常人的错误率为18%。我们的研究结果表明，目前的语音控制界面不适合DHH患者使用。
Many personal devices have transitioned from visual-controlled interfaces to speech-controlled interfaces to reduce costs and interactive friction, supported by the rapid growth in capabilities of speech-controlled interfaces, e.g., Amazon Echo or Apple's Siri. A consequence is that people who are deaf or hard of hearing (DHH) may be unable to use these speech-controlled devices. We show that deaf speech has a high error rate compared to hearing speech, in commercial speech-controlled interfaces. Deaf speech had approximately a 78% word error rate (WER) compared to a hearing speech 18% WER. Our findings show that current speech-controlled interfaces are not usable by DHH people.