1 research outputs found
Deaf, Hard of Hearing, and Hearing Perspectives on using Automatic Speech Recognition in Conversation
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.Comment: 6 pages, 2 figure