• DocumentCode
    3493082
  • Title

    A comparative study between different pre-whitening decorrelation based acoustic feedback cancellers

  • Author

    Essafi, Kawther ; Ben Jebara, Sofia

  • Author_Institution
    Res. unit TECHTRA, Ecole Super. des Commun. de Tunis, Ariana, Tunisia
  • fYear
    2010
  • fDate
    4-6 Oct. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The use of an adaptive feedback canceller (AFC) based on signals pre-whitening/filtering in hearing aids seems very attractive, since it limits desired signal degradation when amplification gain is increased. In this paper, we present a comparative assessment of the performances of some existing pre-whitening decorrelation based methods. The used criteria consider the adaptive filter performances, the system stability and the speech quality in terms of distortion and oscillation. Results show that the method including the loudspeaker pre-whitening and the microphone filtering is the best. Moreover, the use of an adequate algorithm for adaptive pre-whitener based on the minimization of a criterion which considers the inter-correlation between the pre-whitened loudspeaker and the filtered microphone signals improves more the performances.
  • Keywords
    adaptive filters; adaptive signal processing; decorrelation; feedback; hearing aids; loudspeakers; medical signal processing; AFC; acoustic feedback cancellers; adaptive feedback canceller; adaptive filter; adaptive pre-whitener; amplification gain; hearing aids; loudspeaker pre-whitening; microphone filtering; prewhitening decorrelation method; signal degradation; signal filtering; signal prewhitening; speech quality; system stability; Auditory system; Decorrelation; Frequency control; Gain; Hearing aids; Loudspeakers; Microphones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing (MMSP), 2010 IEEE International Workshop on
  • Conference_Location
    Saint Malo
  • Print_ISBN
    978-1-4244-8110-1
  • Electronic_ISBN
    978-1-4244-8111-8
  • Type

    conf

  • DOI
    10.1109/MMSP.2010.5661984
  • Filename
    5661984