Speech Recognition for Mobile Devices at Google

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


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


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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    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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    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
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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
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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

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

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