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arXiv · 1909.01167

Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals

Abraham Glasser·Kesavan Kushalnagar·Raja Kushalnagar
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Abstract

Many personal devices have transitioned from visual-controlled interfaces to speech-controlled interfaces to reduce device costs and interactive friction. This transition has been hastened by the increasing 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 deaf and hard of hearing people. Therefore, it might be wise to pursue other methods for deaf persons to deliver natural commands to computers.

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Abraham Glasser, Kesavan Kushalnagar, Raja Kushalnagar. 2019-09-03. Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals. https://doi.org/10.1145/3132525.3134819

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