38 citations · 89 across the 5 of their papers we have counts for
5 papers
RTTD-ID: Tracked Captions with Multiple Speakers for Deaf Students
Raja Kushalnagar, Gary Behm, Kevin Wolfe +5
Students who are deaf and hard of hearing cannot hear in class and do not have full access to spoken information. They can use accommodations such as captions that display speech a…
Automatic Speech Recognition Services: Deaf and Hard-of-Hearing Usability
Abraham Glasser
Nowadays, speech is becoming a more common, if not standard, interface to technology. This can be seen in the trend of technology changes over the years. Increasingly, voice is use…
Deaf, Hard of Hearing, and Hearing Perspectives on using Automatic Speech Recognition in Conversation
Abraham Glasser, Kesavan Kushalnagar, Raja Kushalnagar
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…
Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals
Abraham Glasser, Kesavan Kushalnagar, Raja Kushalnagar
Many personal devices have transitioned from visual-controlled interfaces to speech-controlled interfaces to reduce device costs and interactive friction. This transition has been…
Artificial Intelligence Fairness in the Context of Accessibility Research on Intelligent Systems for People who are Deaf or Hard of Hearing
Sushant Kafle, Abraham Glasser, Sedeeq Al-khazraji +3
We discuss issues of Artificial Intelligence (AI) fairness for people with disabilities, with examples drawn from our research on human-computer interaction (HCI) for AI-based syst…