• DocumentCode
    2919096
  • Title

    Stereo acoustical echo cancellation based on common poles

  • Author

    Bunkheila, Gabriele ; Scarpiniti, Michele ; Parisi, Raffaele ; Uncini, Aurelio

  • Author_Institution
    Infocom Dpt., Univ. di Roma "La Sapienza", Rome, Italy
  • fYear
    2009
  • fDate
    5-7 July 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Stereo acoustical echo cancellation is a highly challenging application in the field of acoustical signal processing. Unlike the single-channel case, conflicting requirements on the adaptive filters make this problem ill-posed in its original formulation. In this contribution, it is shown how introducing an estimate of the common acoustical poles of the receiving room can lead the adaptive system to remarkable performance improvements with respect to the classical implementation. Finally, a detailed comparison between the two schemes is presented, based on a simulated acoustical environment and the use of the classical affine projection algorithm.
  • Keywords
    acoustic signal processing; adaptive filters; adaptive signal processing; autoregressive moving average processes; echo suppression; ARMA model; acoustical signal processing; adaptive filter; adaptive system; classical affine projection algorithm; common acoustical pole; echo suppression; simulated acoustical environment; single-channel case; stereo acoustical echo cancellation; Acoustic signal processing; Adaptive filters; Adaptive signal processing; Autocorrelation; Echo cancellers; Finite impulse response filter; Hydrogen; Loudspeakers; Microphones; Projection algorithms; ARMA models; Acoustic signal processing; Adaptive filtering; Common poles; Echo suppression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing, 2009 16th International Conference on
  • Conference_Location
    Santorini-Hellas
  • Print_ISBN
    978-1-4244-3297-4
  • Electronic_ISBN
    978-1-4244-3298-1
  • Type

    conf

  • DOI
    10.1109/ICDSP.2009.5201207
  • Filename
    5201207