• DocumentCode
    763387
  • Title

    On the perceptual performance limitations of echo cancellers in wideband telephony

  • Author

    Gordy, James D. ; Goubran, Rafik A.

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada
  • Volume
    14
  • Issue
    1
  • fYear
    2006
  • Firstpage
    33
  • Lastpage
    42
  • Abstract
    In this paper, standard echo canceller performance measures are evaluated in terms of psychoacoustic aspects of human hearing. The focus is on wideband speech communications systems with long round-trip delays of 200 ms and up present in the transmission path. The results of a simple acoustic echo cancellation experiment are analyzed with a standard psychoacoustic model, revealing that steady-state echo return loss enhancement and mean square error cannot be used to determine whether residual echo is perceivable in the presence of background noise. In addition, a simple modification to the normalized least mean square (NLMS) algorithm is introduced by adding a perceptual preemphasis filter. Simulation results and listening tests show that it is possible to improve the perceived performance of an echo canceller during convergence by placing greater emphasis on frequencies at which the human auditory system is most sensitive.
  • Keywords
    acoustic signal processing; broadband networks; echo suppression; filtering theory; least mean squares methods; telephony; voice communication; acoustic echo cancellation; echo cancellers; human hearing psychoacoustic aspects; normalized least mean square algorithm; perceptual performance limitations; preemphasis filter; residual echo; wideband speech communications; wideband telephony; Acoustic measurements; Auditory system; Echo cancellers; Humans; Internet telephony; Measurement standards; Oral communication; Psychoacoustic models; Psychology; Wideband; Adaptive signal processing; echo cancellation; psychoacoustics; voice-over-IP; wideband telephony;
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1558-7916
  • Type

    jour

  • DOI
    10.1109/TSA.2005.860375
  • Filename
    1561261