• DocumentCode
    3404684
  • Title

    Nonlinear residual acoustic echo suppression for high levels of harmonic distortion

  • Author

    Bendersky, Diego A. ; Stokes, Jack W. ; Malvar, Henrique S.

  • Author_Institution
    Buenos Aires Univ., Buenos Aires
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    261
  • Lastpage
    264
  • Abstract
    Linear adaptive filters are often used for acoustic echo cancellation (AEC) but sometimes fail to perform well in notebook computers and inexpensive telephony devices. Low-quality speakers and poorly-designed enclosures that produce vibrations often generate harmonic distortion, and this nonlinear effect degrades the performance of linear AEC algorithms considerably. In this work, we present a new AEC architecture that consists of a linear, subband adaptive AEC filter followed a nonlinear residual echo suppression (RES) stage specifically designed to address harmonic distortion. In addition to suppressing the residual echo in the primary subband, the proposed model also suppresses the residual echo in a window of bands surrounding the higher order harmonics. Results show considerable improvement over other proposed algorithms, and the new algorithm has much lower implementation costs compared to nonlinear AEC models based on Volterra filters and a previously proposed, nonlinear residual echo suppression algorithm.
  • Keywords
    Volterra equations; acoustic signal processing; adaptive filters; echo suppression; harmonic distortion; Volterra filters; harmonic distortion; higher order harmonics; linear adaptive filters; nonlinear residual acoustic echo suppression; Acoustic devices; Adaptive filters; Computer architecture; Degradation; Echo cancellers; Harmonic distortion; Loudspeakers; Nonlinear acoustics; Nonlinear filters; Telephony; acoustic echo cancellation; echo suppression; nonlinear acoustics; nonlinear distortion; nonlinear filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517596
  • Filename
    4517596