Deaf, Hard of Hearing, and Hearing Perspectives on using Automatic Speech Recognition in Conversation
September 03, 2019 Β· Declared Dead Β· π International ACM SIGACCESS Conference on Computers and Accessibility
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Authors
Abraham Glasser, Kesavan Kushalnagar, Raja Kushalnagar
arXiv ID
1909.01176
Category
cs.HC: Human-Computer Interaction
Citations
36
Venue
International ACM SIGACCESS Conference on Computers and Accessibility
Last Checked
3 months ago
Abstract
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. Based on our findings, significant advances in speech recognition software or alternative approaches will be needed for deaf use of speech-controlled interfaces. We show that current speech-controlled interfaces are not usable by DHH people.
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