skip to main content
10.1145/1753326.1753415acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

Speech dasher: fast writing using speech and gaze

Published:10 April 2010Publication History

ABSTRACT

Speech Dasher allows writing using a combination of speech and a zooming interface. Users first speak what they want to write and then they navigate through the space of recognition hypotheses to correct any errors. Speech Dasher's model combines information from a speech recognizer, from the user, and from a letter-based language model. This allows fast writing of anything predicted by the recognizer while also providing seamless fallback to letter-by-letter spelling for words not in the recognizer's predictions. In a formative user study, expert users wrote at 40 (corrected) words per minute. They did this despite a recognition word error rate of 22%. Furthermore, they did this using only speech and the direction of their gaze (obtained via an eye tracker).

Skip Supplemental Material Section

Supplemental Material

p595.wmv

wmv

14.6 MB

References

  1. D. Huggins-Daines, M. Kumar, A. Chan, A. W. Black, M. Ravishankar, and A. I. Rudnicky. PocketSphinx: A free, real-time continuous speech recognition system for hand-held devices. In Proc. of ICASSP, 185--188, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  2. C.-M. Karat, C. Halverson, D. Horn, and J. Karat. Patterns of entry and correction in large vocabulary continuous speech recognition systems. In Proc. of CHI, 568--575, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. K. Larson and D. Mowatt. Speech error correction: The story of the alternates list. International Journal of Speech Technology, 183--194, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  4. S. Oviatt. Taming recognition errors with a multimodal interface. Comm. of the ACM, 43(9):45--51, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. B. Suhm, B. Myers, and A. Waibel. Multimodal error correction for speech user interfaces. ACM Transactions on Computer-Human Interaction, 8(1):60--98, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. D. J. Ward, A. F. Blackwell, and D. J. C. MacKay. Dasher - a data entry interface using continuous gestures and language models. In Proc. of UIST, 129--137, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. D. J. Ward and D. J. C. MacKay. Fast hands-free writing by gaze direction. Nature, 418(6900):838, 2002.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Speech dasher: fast writing using speech and gaze

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
        April 2010
        2690 pages
        ISBN:9781605589299
        DOI:10.1145/1753326

        Copyright © 2010 ACM

        Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 10 April 2010

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate6,199of26,314submissions,24%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader