• DocumentCode
    1219247
  • Title

    Two-dimensional root cepstrum as feature extraction method for speech recognition

  • Author

    Chilton, E. ; Marvi, H.

  • Author_Institution
    Centre for Vision , Speech & Signal, Univ. of Surrey, Guildford, UK
  • Volume
    39
  • Issue
    10
  • fYear
    2003
  • fDate
    5/15/2003 12:00:00 AM
  • Firstpage
    815
  • Lastpage
    816
  • Abstract
    A novel and simple feature extraction method for speech recognition using the two-dimensional root cepstrum (TDRC) has been introduced. Because of the adjustable root index parameter (γ) it has some advantages over the original two-dimensional cepstrum (TDC). Experiments on isolated word recognition using the TIMIT data base show promising results compared with the original TDC.
  • Keywords
    cepstral analysis; discrete Fourier transforms; feature extraction; speech recognition; TIMIT data base; adjustable root index parameter; feature extraction method; inverse two-dimensional discrete Fourier transform; isolated word recognition; recognition accuracy; speech recognition; two-dimensional root cepstrum;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20030522
  • Filename
    1204803
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1219247