ABSTRACT
Smart devices connected to the Internet are proliferating.To reduce costs of devices that havetraditionally been inexpensive(toasters, microwaves, printers, etc), manyof these devices have chosen to use a speech interface rather than a visual one. This transition has been hastened by the increasing capabilities of speech interfaces,exemplifiedbyproducts likeAmazon Echo and Apple'sSiri.A consequence of these products moving to voice control is that people who are deaf and hard of hearing (DHH) may be unable to use them. In this paper, we briefly introduce two technical approaches we are pursuingfor enabling DHH people to provide input to these devices: (i) human computationworkflows for understanding "deaf speech," and (ii) mobile interfaces that can be instructed to speak on the user's behalf.
- Sadaoki Furui. 2000.Digital speech processing: synthesis,and recognition. CRC Press.{2} Linda G Gottermeier, Carol L De Filippo, R AjaKushalnagar, and Bonnie L Bastian. 2016. User EvaluationOf Automatic Speech Recognition Systems For Deaf-hearingInteractions At School And Work.Audiology Today28, 2(2016), 20-34.Google Scholar
- Greg Little, Lydia B Chilton, Max Goldman, and Robert CMiller. 2009. Turkit: tools for iterative tasks on mechanicalturk. InProceedings of the ACM SIGKDD workshop onhuman computation. ACM, 29-30. Google ScholarDigital Library
- Taylor Martin and David Priest. 2017. The complete list ofAlexa commands so far. (April 2017).https://www.cnet.com/how-to/amazon-echo-the-complete-list-of-alexa-commands/Google Scholar
- Nancy S. McGarr. 1983. The Intelligibility of Deaf Speechto Experienced and Inexperienced Listeners.Journal ofSpeech, Language, and Hearing Research26, 3 (1983),451-458.Google Scholar
- John Shinal. 2017. Making sense of Google CEO SundarPichai's plan to move every direction at once. (May 2017).http://www.cnbc.com/2017/05/18/google-ceo-sundar-pichai-machine-learning-big-data.htmlGoogle Scholar
Index Terms
- On How Deaf People Might Use Speech to Control Devices
Recommendations
Towards More Robust Speech Interactions for Deaf and Hard of Hearing Users
ASSETS '18: Proceedings of the 20th International ACM SIGACCESS Conference on Computers and AccessibilityMobile, wearable, and other ubiquitous computing devices are increasingly creating a context in which conventional keyboard and screen-based inputs are being replaced in favor of more natural speech-based interactions. Digital personal assistants use ...
Luminous device for the deaf and hard of hearing people
HAI '14: Proceedings of the second international conference on Human-agent interactionPeople with hard of hearing and the deaf often face difficulties to recognize things happening in their surroundings. Imagine you cannot hear the sound, because you are with hard of hearing or using iPod with earphones, you would not able to recognize ...
Designing Automatic Speech Recognition Technologies to Improve Accessibility for Deaf and Hard-of-Hearing People in Small Group Meetings
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing SystemsDeaf and hard of hearing (DHH) individuals face several barriers to communication in the workplace, particularly in small-group meetings with their hearing peers. The impromptu nature of these meetings makes scheduling sign-language interpreting or ...
Comments