• DocumentCode
    164829
  • Title

    A comparison of different loudspeaker models to empirically estimated non-linearities

  • Author

    Gudupudi, Leela K. ; Beaugeant, Christophe ; Evans, Noah ; Mossi, Moctar ; Lepauloux, Ludovick

  • Author_Institution
    EURECOM, Sophia-Antipolis, France
  • fYear
    2014
  • fDate
    12-14 May 2014
  • Firstpage
    112
  • Lastpage
    116
  • Abstract
    This paper investigates and questions the suitability of modelling non-linear loudspeaker distortion with scalar diagonal (SD) Volterra series. This approach, popular in studies of non-linear acoustic echo cancellation (NAEC), is compared to an alternative non-scalar diagonal (NSD) model. The new model is estimated empirically but based on the theoretical underpinnings of non-linear convolution. Using common, real-speech test signals, the loudspeaker outputs synthesised by each model are evaluated objectively through their comparison to real loudspeaker outputs measured in controlled conditions. Results show that non-linear distortion estimated with the NSD model better reflects that measured empirically. We also show that NAEC experiments conducted with SD loudspeaker models have the potential to over-exaggerate performance, whereas those conducted with an NSD model better reflect practical performance.
  • Keywords
    Volterra series; acoustic equipment; echo suppression; loudspeakers; NAEC; SD loudspeaker models; empirical nonlinearity estimation; nonlinear acoustic echo cancellation; nonlinear convolution; nonlinear loudspeaker distortion modelling; real-speech test signals; scalar diagonal Volterra series; Acoustic measurements; Conferences; Echo cancellers; Loudspeakers; Microphones; Speech; Nonlinear acoustic echo cancellation; Volterra series; non-linear convolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hands-free Speech Communication and Microphone Arrays (HSCMA), 2014 4th Joint Workshop on
  • Conference_Location
    Villers-les-Nancy
  • Type

    conf

  • DOI
    10.1109/HSCMA.2014.6843262
  • Filename
    6843262