• DocumentCode
    1239860
  • Title

    A bio-inspired companding strategy for spectral enhancement

  • Author

    Turicchia, L. ; Sarpeshkar, R.

  • Author_Institution
    Massachusetts Inst. of Technol., Cambridge, MA, USA
  • Volume
    13
  • Issue
    2
  • fYear
    2005
  • fDate
    3/1/2005 12:00:00 AM
  • Firstpage
    243
  • Lastpage
    253
  • Abstract
    This work presents a compressing-and-expanding, i.e., companding, strategy for spectral enhancement inspired by the operation of the auditory system. The companding strategy simulates the two-tone suppression phenomena of the auditory system and implements a soft local winner-take-all-like enhancement of the input spectrum. It performs multichannel syllabic compression without degrading spectral contrast. The companding strategy works in an analog fashion without explicit decision making, without the use of the fast Fourier transform, and without any cross-coupling between spectral channels. The strategy is useful in cochlear-implant processors, hearing aids, and speech recognition for enhancing spectral contrast. It is well suited to low-power analog circuit implementations.
  • Keywords
    compandors; data compression; hearing aids; spectral analysis; speech coding; speech enhancement; speech recognition; auditory system; bio-inspired companding strategy; cochlear-implant processor; compressing-and-expanding strategy; fast Fourier transform; hearing aid; low-power analog circuit implementation; multichannel syllabic compression; soft local winner-take-all-like enhancement; spectral channel; spectral enhancement; speech recognition; two-tone suppression phenomena; Analog circuits; Auditory system; Biological system modeling; Decision making; Degradation; Fast Fourier transforms; Gain control; Hearing aids; Speech recognition; Very large scale integration; Auditory filtering; auditory masking; auditory model; cochlear implant; companding; hearing aids; spectral enhancement; two-tone suppression;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/TSA.2004.841044
  • Filename
    1395969