• DocumentCode
    310615
  • Title

    Sub-band based recognition of noisy speech

  • Author

    Tibrewala, Sangita ; Hermansky, Hynek

  • Author_Institution
    Oregon Graduate Inst. of Sci. & Technol., Beaverton, OR, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    1255
  • Abstract
    A new approach to automatic speech recognition based on independent class-conditional probability estimates in several frequency sub-bands is presented. The approach is shown to be especially applicable to environments which cause partial corruption of the frequency spectrum of the signal. Some of the issues involved in the implementation of the approach are also addressed
  • Keywords
    acoustic noise; estimation theory; probability; spectral analysis; speech recognition; automatic speech recognition; frequency spectrum; frequency sub-bands; independent class-conditional probability estimates; noisy speech; partial corruption; sub-band based recognition; Automatic speech recognition; Decoding; Degradation; Frequency estimation; Humans; Merging; Power system modeling; Speech enhancement; Speech recognition; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • Conference_Location
    Munich
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.596173
  • Filename
    596173
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=310615