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Autoregressive Models of Speech Signal Variability in the Speech Commands Statistical Distinction

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Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3980))

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Abstract

In the task of speech commands (SC) statistical distinction the SC variability models application considerably simplifies both the likelihood ratio construction procedure, and the likelihood ratio expression itself, reducing it to well-known criterion χ-square. Computer modeling allows us to use SC variability models at SC distinction decision rule synthesis.

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Author information

Authors and Affiliations

  1. Ulyanovsk State Technical University, 32 Severny Venets St., 432027, Ulyanovsk, Russia

    Victor Krasheninnikov & Andrey Armer

  2. Ulyanovsk State University, 42 Leo Tolstoy St., 432970, Ulyanovsk, Russia

    Natalia Krasheninnikova

  3. Ulyanovsk Instrument Manufacturing Design Bureau, 10a Krymov St., 432001, Ulyanovsk, Russia

    Valery Derevyankin, Victor Kozhevnikov & Nikolay Makarov

Authors
  1. Victor Krasheninnikov
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  2. Andrey Armer
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  3. Natalia Krasheninnikova
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  4. Valery Derevyankin
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  5. Victor Kozhevnikov
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  6. Nikolay Makarov
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd., Cathedral House, 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

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© 2006 Springer-Verlag Berlin Heidelberg

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Krasheninnikov, V., Armer, A., Krasheninnikova, N., Derevyankin, V., Kozhevnikov, V., Makarov, N. (2006). Autoregressive Models of Speech Signal Variability in the Speech Commands Statistical Distinction. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751540_106

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  • DOI: https://doi.org/10.1007/11751540_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34070-6

  • Online ISBN: 978-3-540-34071-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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