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A new Geometrical ICA-based method for Blind Separation of Speech Signals.

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Artificial Neural Nets Problem Solving Methods (IWANN 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2687))

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Abstract

This work explains a new method for blind separation of a linear mixture of sources, based on geometrical considerations concerning the observation space. This new method is applied to a mixture of several sources and it obtains the estimated coefficients of the unknown mixture matrix A and separates the unknown sources. In this work, the principles of the new method and a description of the algorithm are shown.

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References

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Author information

Authors and Affiliations

  1. Department of Architecture and Compuler Technology, University of Granada, Spain

    Manuel Rodriguez-Alvarez, Fernando Rojas & Ignacio Rojas

  2. Institute of Biophysics, University of Regensburg Germany, Germany

    Elmar W. Lang

Authors
  1. Manuel Rodriguez-Alvarez
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  2. Fernando Rojas
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  3. Elmar W. Lang
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  4. Ignacio Rojas
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Editor information

Editors and Affiliations

  1. E.T.S. de Ingeniería Informática Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    José Mira  & José R. Álvarez  & 

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© 2003 Springer-Verlag Berlin Heidelberg

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Rodriguez-Alvarez, M., Rojas, F., Lang, E.W., Rojas, I. (2003). A new Geometrical ICA-based method for Blind Separation of Speech Signals.. In: Mira, J., Álvarez, J.R. (eds) Artificial Neural Nets Problem Solving Methods. IWANN 2003. Lecture Notes in Computer Science, vol 2687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44869-1_36

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  • DOI: https://doi.org/10.1007/3-540-44869-1_36

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40211-4

  • Online ISBN: 978-3-540-44869-3

  • eBook Packages: Springer Book Archive

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