• DocumentCode
    892995
  • Title

    SVM-based speech endpoint detection using contextual speech features

  • Author

    Ramírez, J. ; Yélamos, P. ; Górriz, J.M. ; Segura, J.C.

  • Author_Institution
    Dept. of Signal Theor., Granada, Spain
  • Volume
    42
  • Issue
    7
  • fYear
    2006
  • fDate
    3/30/2006 12:00:00 AM
  • Firstpage
    426
  • Lastpage
    428
  • Abstract
    Shown is an effective speech endpoint detection algorithm using a trained support vector machine (SVM) and a feature vector including contextual information speech features. With this and other innovations the proposed algorithm yields high discrimination and reports significant improvements over standard methods and algorithms defining the decision rule in terms of averaged subband speech features.
  • Keywords
    speech recognition; support vector machines; contextual speech features; speech endpoint detection algorithm; subband speech feature; support vector machine;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20064068
  • Filename
    1618321
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=892995