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On How Deaf People Might Use Speech to Control Devices

Published:19 October 2017Publication History

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.

References

  1. 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 ScholarGoogle Scholar
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  3. 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 ScholarGoogle Scholar
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    • Published in

      cover image ACM Conferences
      ASSETS '17: Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility
      October 2017
      450 pages
      ISBN:9781450349260
      DOI:10.1145/3132525

      Copyright © 2017 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 19 October 2017

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      Acceptance Rates

      ASSETS '17 Paper Acceptance Rate28of126submissions,22%Overall Acceptance Rate436of1,556submissions,28%

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