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Voice Command Recognition Using Statistical Signal Processing and SVM

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Book cover Advances in Computational Intelligence (IWANN 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11506))

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Abstract

The paper presents automatic system for recognition of the voice commands. The neural based system for recognition of spoken commands, registered using smartphone is proposed. It applies the statistical processing of data leading to diagnostic feature generation and application of support vector machine as the final classifier. The recognized words are typical commands that might be used in automatic controlling of the wheelchair or represent the passwords used in speaker identification. The results of numerical experiments will be presented and discussed. They show the applicability of the presented method in simplified solution of voice command recognition.

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Author information

Authors and Affiliations

  1. Warsaw University of Technology, Warsaw, Poland

    Aleksandra Osowska & Stanislaw Osowski

  2. Military University of Technology, Warsaw, Poland

    Stanislaw Osowski

Authors
  1. Aleksandra Osowska
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  2. Stanislaw Osowski
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Corresponding author

Correspondence to Stanislaw Osowski .

Editor information

Editors and Affiliations

  1. University of Granada, Granada, Spain

    Ignacio Rojas

  2. University of Malaga, Malaga, Spain

    Gonzalo Joya

  3. Polytechnic University of Catalonia, Barcelona, Spain

    Andreu Catala

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Osowska, A., Osowski, S. (2019). Voice Command Recognition Using Statistical Signal Processing and SVM. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science(), vol 11506. Springer, Cham. https://doi.org/10.1007/978-3-030-20521-8_6

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  • DOI: https://doi.org/10.1007/978-3-030-20521-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20520-1

  • Online ISBN: 978-3-030-20521-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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