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Short message dictation on Symbian series 60 mobile phones

Published: 02 November 2006 Publication History

Abstract

Dictation of natural language text on embedded mobile devices is a challenging task. First, it involves memory and CPU-efficient implementation of robust speech recognition algorithms that are generally resource demanding. Secondly, the acoustic and language models employed in the recognizer require the availability of suitable text and speech language resources, typically for a wide set of languages. Thirdly, a proper design of the UI is also essential. The UI has to provide intuitive and easy means for dictation and error correction, and must be suitable for a mobile usage scenario. In this demonstrator, an embedded speech recognition system for short message (SMS) dictation in US English is presented. The system is running on Nokia Series 60 mobile phones (e.g., N70, E60). The system's vocabulary is 23 thousand words. Its Flash and RAM memory footprints are small, 2 and 2.5 megabytes, respectively. After a short enrollment session, most native speakers can achieve a word accuracy of over 90% when dictating short messages in quiet or moderately noisy environments.

References

[1]
http://www.nuance.com/naturallyspeaking/
[2]
Jackie Fenn, "Speech Recognition on the Desktop: Still Niche After All These Years", Gartner Research Report, G00132456.

Cited By

View all
  • (2010)The Blind Leading the BlindMobile Web 2.010.1201/b10445-5(71-93)Online publication date: 15-Dec-2010
  • (2008)Speech Recognition in Mobile PhonesAutomatic Speech Recognition on Mobile Devices and over Communication Networks10.1007/978-1-84800-143-5_14(301-325)Online publication date: 2008
  • (2007)Mandarin short message dictation on Symbian series 60 mobile phonesProceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology10.1145/1378063.1378131(431-438)Online publication date: 10-Sep-2007
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      cover image ACM Conferences
      ICMI '06: Proceedings of the 8th international conference on Multimodal interfaces
      November 2006
      404 pages
      ISBN:159593541X
      DOI:10.1145/1180995
      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]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 02 November 2006

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      Author Tags

      1. embedded dictation
      2. low complexity
      3. low footprint
      4. mobile dictation UI
      5. speech recognition

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      Overall Acceptance Rate 453 of 1,080 submissions, 42%

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      Cited By

      View all
      • (2010)The Blind Leading the BlindMobile Web 2.010.1201/b10445-5(71-93)Online publication date: 15-Dec-2010
      • (2008)Speech Recognition in Mobile PhonesAutomatic Speech Recognition on Mobile Devices and over Communication Networks10.1007/978-1-84800-143-5_14(301-325)Online publication date: 2008
      • (2007)Mandarin short message dictation on Symbian series 60 mobile phonesProceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology10.1145/1378063.1378131(431-438)Online publication date: 10-Sep-2007
      • (2007)Dynamic vocabulary prediction for isolated-word dictation on embedded devices2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)10.1109/ASRU.2007.4430172(556-561)Online publication date: Dec-2007

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