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Separation of speech signals for nonlinear mixtures

  • Engeneering Applications
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Engineering Applications of Bio-Inspired Artificial Neural Networks (IWANN 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1607))

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Abstract

This paper shows an approach to recover original speech signals from their nonlinear mixtures. Using a geometric method that makes a piecewise linear approximation of the nonlinear mixing space, and the fact that the speech distributions are Laplacian or Gamma type, a set of slopes is obtained as a set of linear mixtures.

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References

  1. A. Prieto, B. Prieto, C. G. Puntonet, P. M. Smith, A. Cañas, “Geometric separation of linear mixtures of sources: application to speech signals”. First International Congress on Independent Component Analisys and Signal Separation (ICA-99)”, 1999, 11–15 January, Aussois, France.

    Google Scholar 

  2. C.G. Puntonet, A. Prieto, C. Jutten, M.R. Alvarez and J. Ortega, “Separation of sources: a geometry-based procedure for reconstruction of n-valued signals”. Signal Processing, 1995, 46, No 3, pp. 267–284.

    Article  MATH  Google Scholar 

  3. C.G. Puntonet and A. Prieto, “Geometric approach for blind separation of signals”, Electronics Letters, 1997, 33, No. 10, pp. 835–836.

    Article  Google Scholar 

  4. C.G. Puntonet and A. Prieto, “Neural net approach for blind separation of sources based on geometric properties”. Neurocomputing, 1998, 18, pp. 141–164.

    Article  Google Scholar 

  5. A. Taleb and C. Jutten. Nonlinear source separation: The Post-Nonlinear Mixtures. Proceedings of ESANN'97, 1997, pp. 279–284. D Facto Brussels.

    Google Scholar 

  6. P.A. Paratte and P. Robert, “Systèmes de mesure”, Traité d'Electricité, 1996, 17, Presses Polytechniques et Universitaires Romandes, Lausanne.

    Google Scholar 

  7. C. Jutten, A. Guerin and N.L. Nguyen Thi, “Adaptive optimization of neural algorithms”, Lecture Notes in Computer Science, 1991, 540, pp. 54–61, Springer-Verlag.

    Article  Google Scholar 

  8. T. Kohonen, “The self organizing map”, Proceedings of the IEEE, vol. 7, n.9, pp. 1464–1680, Sept. 1990.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, 18071, Granada, Spain

    C. G. Puntonet, M. R. Alvarez, A. Prieto & B. Prieto

Authors
  1. C. G. Puntonet
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  2. M. R. Alvarez
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  3. A. Prieto
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  4. B. Prieto
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Editor information

José Mira Juan V. Sánchez-Andrés

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© 1999 Springer-Verlag Berlin Heidelberg

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Puntonet, C.G., Alvarez, M.R., Prieto, A., Prieto, B. (1999). Separation of speech signals for nonlinear mixtures. In: Mira, J., Sánchez-Andrés, J.V. (eds) Engineering Applications of Bio-Inspired Artificial Neural Networks. IWANN 1999. Lecture Notes in Computer Science, vol 1607. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100534

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  • DOI: https://doi.org/10.1007/BFb0100534

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66068-2

  • Online ISBN: 978-3-540-48772-2

  • eBook Packages: Springer Book Archive

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