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Using Automatic Speech Recognition to Facilitate Communication Between an Individual who is Hearing and One who is Deaf or Hard of Hearing

Published: 19 October 2017 Publication History

Abstract

This study investigated use of automatic speech recognition (ASR) in 12 pairs where one individual was deaf or hard-of-hearing (DHH), and the other one was hearing, with the hearing individual using speech and ASR and the DHH one using typing. Each of the pairs used prototype software for messaging to communicate while completing a standardized decision making task. Results suggested that ASR produced text at a faster rate than a keyboard. When both participants used keyboards, they exchanged more messages than when one or both of them used a smartphone with a miniature keyboard.

References

[1]
Foster, S. and MacLeod, J. 2003. Deaf people at work: Assessment of communication among deaf and hearing persons in work settings. International Journal of Audiology, 42 (2003), 128-139.
[2]
Punch, R., Hyde, M., and Power, D. 2007. Career and workplace experiences of Australian university graduates who are deaf or hard of hearing. Journal of Deaf Studies and Deaf Education 12, 4 (2007), 504-517
[3]
Ruan, S., Wobbrock, J., Liou, K., Ng, A., and Landay, J. 2016. Speech is 3x faster than typing for English and Mandarin text entry on mobile devices. arXiv Preprint. arXiv: 1608.07323.

Cited By

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  • (2020)Audio Feature Extraction on SIBI Dataset for Speech Recognition2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)10.1109/ICIMCIS51567.2020.9354290(70-74)Online publication date: 19-Nov-2020
  • (2020)Assisting People Who Are Deaf or Hard of Hearing Through TechnologyEncyclopedia of Education and Information Technologies10.1007/978-3-030-10576-1_143(106-115)Online publication date: 14-Jun-2020
  • (2019)Assisting People Who Are Deaf or Hard of Hearing Through TechnologyEncyclopedia of Education and Information Technologies10.1007/978-3-319-60013-0_143-1(1-10)Online publication date: 13-Apr-2019

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  1. Using Automatic Speech Recognition to Facilitate Communication Between an Individual who is Hearing and One who is Deaf or Hard of Hearing

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    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
    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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    Author Tags

    1. automatic speech recognition
    2. communication
    3. deaf
    4. hard-of-hearing
    5. small groups

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    ASSETS '17
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    ASSETS '17 Paper Acceptance Rate 28 of 126 submissions, 22%;
    Overall Acceptance Rate 436 of 1,556 submissions, 28%

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    Cited By

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    • (2020)Audio Feature Extraction on SIBI Dataset for Speech Recognition2020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)10.1109/ICIMCIS51567.2020.9354290(70-74)Online publication date: 19-Nov-2020
    • (2020)Assisting People Who Are Deaf or Hard of Hearing Through TechnologyEncyclopedia of Education and Information Technologies10.1007/978-3-030-10576-1_143(106-115)Online publication date: 14-Jun-2020
    • (2019)Assisting People Who Are Deaf or Hard of Hearing Through TechnologyEncyclopedia of Education and Information Technologies10.1007/978-3-319-60013-0_143-1(1-10)Online publication date: 13-Apr-2019

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