• DocumentCode
    3511078
  • Title

    Novel schemes for nonlinear acoustic echo cancellation based on filter combinations

  • Author

    Azpicueta-Ruiz, Luis A. ; Zeller, Marcus ; Arenas-García, Jerónimo ; Kellermann, Walter

  • Author_Institution
    Dept. of Signal Theor. & Commun., Univ. Carlos III de Madrid, Leganes-Madrid
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    193
  • Lastpage
    196
  • Abstract
    Nonlinear acoustic echo cancellers (NLAEC) are becoming increasingly important in hands-free applications. However, in some situations, an NLAEC is inferior to a linear AEC, especially when the channel generates a negligible (or no) nonlinear echo. In general, the ratio of the linear to nonlinear echo signal power is unknown a priori, and will vary over time, thus making it difficult to know if an NLAEC would improve or degrade the cancellation. In this paper, we present two novel solutions to this problem based on the adaptive combination of linear and nonlinear echo cancellers. Both solutions perform efficiently regardless of the level of nonlinear echo. The benefits and robustness of both schemes are illustrated by experiments using Laplacian colored noise and speech input signals.
  • Keywords
    Laplace equations; echo suppression; filtering theory; nonlinear acoustics; Laplacian colored noise; channel generation; filter combinations; nonlinear acoustic echo cancellation; nonlinear echo cancellers; nonlinear echo signal power; speech input signals; Adaptive filters; Adaptive signal processing; Degradation; Echo cancellers; Kernel; Multimedia communication; Nonlinear acoustics; Nonlinear filters; Robustness; Signal processing; Adaptive filters; Volterra filters; combination of filters; nonlinear acoustic echo cancellation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4959553
  • Filename
    4959553