• DocumentCode
    2023247
  • Title

    Speech recognition using the modulation model

  • Author

    Assaleh, K.T. ; Mammone, R.J. ; Rahim, M.G. ; Flanagan, J.L.

  • Author_Institution
    Center for Comput. Aids for Ind. Productivity, Rutgers Univ., Piscataway, NJ, USA
  • Volume
    2
  • fYear
    1993
  • fDate
    27-30 April 1993
  • Firstpage
    664
  • Abstract
    A set of features and classification metric based on the modulation model (MM) for speech recognition are presented. The MM decomposes speech into amplitude and frequency modulated components. Computer simulations are presented that demonstrate the robustness to aging of the MM-based features when these features are employed for speech recognition.<>
  • Keywords
    amplitude modulation; frequency modulation; speech recognition; amplitude modulated components; classification metric; frequency modulated components; modulation model; robustness; set of features; simulations; speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
  • Conference_Location
    Minneapolis, MN, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1993.319398
  • Filename
    319398
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2023247