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Speech Recognition for Mobile Devices at Google

  • Mike Schuster
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6230)

Abstract

We briefly describe here some of the content of a talk to be given at the conference.

Keywords

Mobile Device Speech Recognition Language Model Search Query Acoustic Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Bacchiani, M., Beaufays, F., Schalkwyk, J., Schuster, M., Strope, B.: Deploying GOOG-411: Early lessons in data, measurement, and testing. In: Proceedings of ICASSP, pp. 5260–5263 (2008)Google Scholar
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    van Heerden, C., Schalkwyk, J., Strope, B.: Language Modeling for What-with-Where on GOOG-411. In: Proceedings of Interspeech, pp. 991–994 (2009)Google Scholar
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    Schalkwyk, J., Beeferman, D., Beaufays, F., Byrne, B., Chelba, C., Cohen, M., Kamvar, M., Strope, B.: Google Search by Voice: A case study. In: Weinstein, A. (ed.) Visions of Speech: Exploring New Voice Apps in Mobile Environments, Call Centers and Clinics. Springer, Heidelberg (2010) (in Press)Google Scholar
  4. 4.
    Hughes, T., Nakajima, K., Ha, L., Vasu, A., Moreno, P., LeBeau, M.: Building transcribed speech corpora quickly and cheaply for many languages. In: Interspeech (submitted 2010)Google Scholar
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    Shan, J., Wu, G., Hu, Z., Tang, X., Jansche, M., Moreno, P.: Search by Voice in Mandarin Chinese. In: Interspeech (submitted 2010)Google Scholar
  6. 6.
    Ballinger, B., Allauzen, C., Gruenstein, A., Schalkwyk, J.: On-Demand Language Model Interpolation for Mobile Speech Input. In: Interspeech (submitted 2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Mike Schuster
    • 1
  1. 1.Google ResearchMountain ViewUSA

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