• DocumentCode
    150224
  • Title

    Characterisation and modelling of non-linear loudspeakers

  • Author

    Gudupudi, Leela K. ; Beaugeant, Christophe ; Evans, Noah

  • Author_Institution
    EURECOM, Sophia Antipolis, France
  • fYear
    2014
  • fDate
    8-11 Sept. 2014
  • Firstpage
    134
  • Lastpage
    138
  • Abstract
    Approaches to non-linear acoustic echo cancellation for mobile devices all require a reliable, non-linear model of the loudspeaker. This paper investigates a recent approach to nonlinear system identification. The loudspeaker is characterised using specially-crafted test signals, in this case simple exponential sine-sweep inputs, which facilitate the derivation of a polynomial Hammerstein model. Model performance is then assessed using the same artificial test input signal and then using real-speech. Model performance is assessed objectively using the mean cepstral distance between real loudspeaker outputs and that estimated using the model. Results show the potential of the approach but also the challenge in estimating reliable non-linear models which accurately predict the response to complex real-speech inputs.
  • Keywords
    cepstral analysis; echo suppression; loudspeakers; polynomial approximation; artificial test input signal; exponential sine-sweep inputs; mean cepstral distance; mobile devices; nonlinear acoustic echo cancellation; nonlinear loudspeaker modelling; nonlinear system identification; polynomial Hammerstein model; specially-crafted test signals; Computational modeling; Echo cancellers; Loudspeakers; Mobile handsets; Performance evaluation; Speech; Nonlinearities; echo cancellation; exponential sine-sweep; loudspeaker modeling; system identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustic Signal Enhancement (IWAENC), 2014 14th International Workshop on
  • Conference_Location
    Juan-les-Pins
  • Type

    conf

  • DOI
    10.1109/IWAENC.2014.6953353
  • Filename
    6953353