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A speech recognition system that integrates neural nets and HMM

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Artificial Neural Networks (IWANN 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 540))

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Abstract

In this paper we present a speech recognition system based on neural networks and on Hidden Markov Models. This system makes use of the discriminating properties of the multilayer perceptron, the properties of the fonotropical maps of Kohonen for clustering data and the properties for dealing with sequentiallity of the Hidden Markov Models (HMM). We also present preliminary results.

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References

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Authors and Affiliations

  1. Dpt. de Teoría de la Señal y Comunicaciones, ETSITB.UPC. Apartado, 30.002, Barcelona

    E. Monte & J. B. Mariño

Authors
  1. E. Monte
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  2. J. B. Mariño
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Editor information

Alberto Prieto

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© 1991 Springer-Verlag Berlin Heidelberg

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Monte, E., Mariño, J.B. (1991). A speech recognition system that integrates neural nets and HMM. In: Prieto, A. (eds) Artificial Neural Networks. IWANN 1991. Lecture Notes in Computer Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035916

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  • DOI: https://doi.org/10.1007/BFb0035916

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54537-8

  • Online ISBN: 978-3-540-38460-1

  • eBook Packages: Springer Book Archive

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