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Solving the Acoustic Echo Cancellation Problem in Double-Talk Scenario Using Non-Gaussianity of the Near-End Signal

  • Conference paper
Independent Component Analysis and Signal Separation (ICA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5441))

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Abstract

The acoustic echo cancellation (AEC) problem in the double-talk scenario and the blind source separation (BSS) problem resemble each other in that, for both problems, mixed signals are given and the objectives are to remove unwanted signals from the mixed signals. As many BSS algorithms have utilized the non-Gaussianity of the source signals to solve the separation problem, the super-Gaussianity of the near-end speech signal can be utilized to perform AEC in the double-talk scenario. Here, we propose a maximum likelihood (ML) approach using a super-Gaussian source prior to solve the double-talk-scenario AEC problem and compare the algorithm with minimizing mean squared error (MSE). The simulation results and analysis support the efficiency of the proposed method.

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Author information

Authors and Affiliations

  1. Institute for Neural Computation, University of California, San Diego, USA

    Intae Lee

  2. Mechanical and Aerospace Engineering, University of California, San Diego, USA

    Charles E. Kinney

  3. Hewlett-Packard Laboratories, Palo Alto, USA

    Bowon Lee & Antonius A. C. M. Kalker

Authors
  1. Intae Lee
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  2. Charles E. Kinney
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  3. Bowon Lee
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  4. Antonius A. C. M. Kalker
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Electrical Engineering, ITE 324, University of Maryland, Baltimore County, 1000 Hilltop Circle, MD 21250, Baltimore, USA

    Tülay Adali

  2. Domaine Universitaire, GIPSA-lab, BP 46, 38402, Saint Martin d’Hères Cedex, France

    Christian Jutten

  3. Departamento de Microonda e Óptica (DMO), FEEC / Unicamp, Avenida Albert Einstein 400, 13083-852, Campinas, Sao Paulo, Brazil

    João Marcos Travassos Romano

  4. Centro Tecnológico, Curso de Engenharia Elétrica, Universidade Federal do Maranhão, Avenida dos Portugueses, s/n, Bacanga, 65080-040, São Luís, MA, Brazil

    Allan Kardec Barros

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© 2009 Springer-Verlag Berlin Heidelberg

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Lee, I., Kinney, C.E., Lee, B., Kalker, A.A.C.M. (2009). Solving the Acoustic Echo Cancellation Problem in Double-Talk Scenario Using Non-Gaussianity of the Near-End Signal. In: Adali, T., Jutten, C., Romano, J.M.T., Barros, A.K. (eds) Independent Component Analysis and Signal Separation. ICA 2009. Lecture Notes in Computer Science, vol 5441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00599-2_74

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  • DOI: https://doi.org/10.1007/978-3-642-00599-2_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00598-5

  • Online ISBN: 978-3-642-00599-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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