Name
Title | ||
|---|---|---|
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals. |
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.
|
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3132525.3134819 | ASSETS |
Keywords | Field | DocType |
Automatic Speech Recognition, Deaf Speech, Hearing Speech, Word Error Rate, Deaf, Hearing | USable,Computer science,Word error rate,Cued speech,Speech recognition,Hearing speech,Speech technology | Conference |
ISBN | Citations | PageRank |
978-1-4503-4926-0 | 3 | 0.57 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abraham Glasser | 1 | 5 | 5.35 |
| Raja S. Kushalnagar | 2 | 196 | 21.42 |
| Raja S. Kushalnagar | 3 | 11 | 3.82 |