Name
Title | ||
|---|---|---|
Deaf, Hard of Hearing, and Hearing Perspectives on Using Automatic Speech Recognition in Conversation. |
Abstract | ||
|---|---|---|
This experience report describes the accessibility challenges in using the top seven most popular Automatic Speech Recognition (ASR) applications on personal devices for commands and group conversation, by five deaf, hard of hearing and hearing participants, including the authors. The report discusses the most common use cases, their challenges, and best practices plus pitfalls to avoid in using personal devices with ASR for commands or conversation.
|
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3132525.3134781 | ASSETS |
Keywords | Field | DocType |
Automatic Speech Recognition, Deaf Speech, Deaf, Hearing | Use case,Conversation,Best practice,Computer science,Speech recognition,Human–computer interaction,Multimedia | Conference |
ISBN | Citations | PageRank |
978-1-4503-4926-0 | 0 | 0.34 |
References | Authors | |
2 | 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 |