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Ambient Intelligence - Software and Applications pp 235–242Cite as

Topic-Dependent Language Model Switching for Embedded Automatic Speech Recognition

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 153))

Abstract

Embedded devices incorporate everyday new applications in different domains due to their increasing computational power.Many of these applications have a voice interface that uses Automatic Speech Recognition (ASR). When the complexity of the language model is high, it is common to use an external server to perform the recognition at the expense of certain limitations (network availability, latency, etc.). This paper focuses on a new proposal to improve the efficiency of the usage of the language model in a recognizer for multiple domains. The idea is based on the selection of a proper language model for each domain within the ASR system.

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Author information

Authors and Affiliations

  1. Electronic Technology Department, School of Telecommunications Engineering, University of Malaga, Teatinos Campus, 29071, Malaga, Spain

    Marcos Santos-Pérez, Eva González-Parada & José Manuel Cano-García

Authors
  1. Marcos Santos-Pérez
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  2. Eva González-Parada
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  3. José Manuel Cano-García
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Corresponding author

Correspondence to Marcos Santos-Pérez .

Editor information

Editors and Affiliations

  1. , Departamento de Informática, Universidade do Minho, Campus de Gualtar, Braga, 4710-057, Portugal

    Paulo Novais

  2. The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Campusvej 55, Odense M, DK-5230, Denmark

    Kasper Hallenborg

  3. Facultad de Ciencias, Departamento de Informática, Universidad de Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Dante I. Tapia

  4. Faculty of Science, Department of Computing Science, University of Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Juan M. Corchado Rodríguez

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© 2012 Springer-Verlag Berlin Heidelberg

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Santos-Pérez, M., González-Parada, E., Cano-García, J.M. (2012). Topic-Dependent Language Model Switching for Embedded Automatic Speech Recognition. In: Novais, P., Hallenborg, K., Tapia, D., Rodríguez, J. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent and Soft Computing, vol 153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28783-1_30

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  • DOI: https://doi.org/10.1007/978-3-642-28783-1_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28782-4

  • Online ISBN: 978-3-642-28783-1

  • eBook Packages: EngineeringEngineering (R0)

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