• DocumentCode
    2458888
  • Title

    Enhanced Partitioned Stereo Residual Echo Estimation

  • Author

    Goetze, Stefan ; Kammeyer, Karl-Dirk ; Kallinger, Markus ; Mertins, Alfred

  • Author_Institution
    Dept. of Commun. Eng., Univ. of Bremen, Bremen
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    1326
  • Lastpage
    1330
  • Abstract
    For convenient hands-free telecommunication systems echo cancelers with a low delay are desirable. Since such systems have to cope with long room impulse responses (RIRs) common echo cancelation techniques often suffer from slow convergence or introduce large delays. An algorithm for acoustic echo cancelation (AEC) has to compensate the influence of RIRs of several thousand sampling points. Thus for frequency domain algorithms long DFT-lengths are needed to cover the whole influence of the RIRs. Approaches in the partitioned frequency domain overcome this drawback. Our contribution describes a combined echo cancelation system in the partitioned frequency domain containing a conventional stereo AEC enhanced by a post-filter which requires a reliable residual echo estimate. This contribution focuses on minimizing the estimation bias introduced by partitioned residual echo estimation. For this purpose an optimal smoothing factor for the residual echo differential system will be derived.
  • Keywords
    acoustic signal processing; discrete Fourier transforms; echo suppression; frequency-domain analysis; transient response; acoustic echo cancelation; discrete Fourier transforms; hands-free telecommunication systems; room impulse responses; stereo residual echo estimation; Acoustic signal processing; Convergence; Delay estimation; Echo cancellers; Frequency domain analysis; Loudspeakers; Microphones; Partitioning algorithms; Signal processing algorithms; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    1-4244-0784-2
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2006.354971
  • Filename
    4176781