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Efficient Use of Voice Activity Detector and Automatic Speech Recognition in Embedded Platforms for Natural Language Interaction

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Highlights in Practical Applications of Agents and Multiagent Systems

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 89))

Abstract

Nowadays people are faced daily with the management of all types of technological devices that have embedded processors inside. The desire of users and the industry is to achieve a natural interaction with these devices. Researchers have spent many years working in spoken dialog systems which are now used in many applications. In these systems it is crucial to achieve correct speech recognition. Usually the largest research effort focuses on the robustness to noise in all kinds of adverse conditions but often the response time is ignored. This paper focuses on a new approach for the efficient use of voice activity detection and speech recognition in embedded devices for natural language interaction. We propose a new approach to adjust the response time of the recognition system to the requirements of the overall implementation without sacrificing too much accuracy.

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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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Editor information

Editors and Affiliations

  1. Universidad Pontificia de Salamanca Escuela Universitaria de Informática, Compañía 5, 37002, Salamanca, Spain

    Javier Bajo Pérez

  2. Departamento de Informática y Automática Facultad de Ciencias, Universidad de Salamanca, Plaza de la Merced, 37008, Salamanca, Spain

    Juan M. Corchado  & María N. Moreno  & 

  3. Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia , Camino de Vera s/n, 46022, Valencia, Spain

    Vicente Julián

  4. Fondamentale de Lille) UMR CNRS 8022, Université des Sciences et Technologies de Lille, LIFL (Laboratoire d’Informatique, Bâtiment M3 (extension), 59655, Villeneuve d’Ascq Cedex, France

    Philippe Mathieu

  5. Departamento de Ingeniería de Telecomunicación E.P.S. de Linares, Universidad de Jaén, Área de Ingeniería Telemática, C/ Alfonso X el Sabio, 28, 23700, Linares (Jaén), Spain

    Joaquin Canada-Bago

  6. Departamento de Ingeniería Informática, Ciudad Universitaria de Cantoblanco, Calle Francisco Tomás y Valiente, 11, 28049, Madrid, Spain

    Alfonso Ortega

  7. Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha Escuela de Ingenieros Industriales de Albacete, Campus Universitario s/n, 02071, Spain

    Antonio Fernández Caballero

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© 2011 Springer-Verlag Berlin Heidelberg

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Santos-Pérez, M., González-Parada, E., Cano-García, J.M. (2011). Efficient Use of Voice Activity Detector and Automatic Speech Recognition in Embedded Platforms for Natural Language Interaction. In: Pérez, J.B., et al. Highlights in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 89. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19917-2_28

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  • DOI: https://doi.org/10.1007/978-3-642-19917-2_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19916-5

  • Online ISBN: 978-3-642-19917-2

  • eBook Packages: EngineeringEngineering (R0)

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