• DocumentCode
    3642475
  • Title

    Binaural phoneme recognition using the auditory image model and cross-correlation

  • Author

    K.I. Francis;T.R. Anderson

  • Author_Institution
    Cedarville Coll., OH, USA
  • Volume
    2
  • fYear
    1997
  • Firstpage
    1231
  • Abstract
    An improved method for phoneme recognition in noise is presented using an auditory image model and cross-correlation in a binaural approach called the binaural auditory image model (BAIM). Current binaural methods are explained as background to BAIM processing. BAIM and a variation of the cocktail-party-processor incorporating the auditory image model are applied in phoneme recognition experiments. The results show BAIM performs as well or better than current methods for most signal-to-noise ratios.
  • Keywords
    "Image recognition","Signal to noise ratio","Feature extraction","Equations","Speech","Filters","Educational institutions","Laboratories","Neural networks","Ear"
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.596167
  • Filename
    596167
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3642475