• DocumentCode
    1194825
  • Title

    Adaptive V/UV speech detection based on acoustic noise estimation and classification

  • Author

    Beritelli, F. ; Casale, S. ; Serrano, S.

  • Author_Institution
    Dipt. di Ingegneria Informatica e delle Telecomunicazioni, Univ. degli Studi di Catania
  • Volume
    43
  • Issue
    4
  • fYear
    2007
  • Firstpage
    249
  • Lastpage
    251
  • Abstract
    An adaptive system for Voiced/Unvoiced (V/UV) speech detection in the presence of background noise is presented. The results were compared with a non-adaptive classification system and the V/UV detectors adopted by three important speech coding standards: LPC10, ITU-T G. 723.1 and ETSI AMR. In all cases the adaptive V/UV classifier outperformed the traditional solutions
  • Keywords
    pattern classification; speech coding; speech recognition; standards; ETSI AMR standard; ITU-T G.723.1 standard; LPC10 standard; acoustic noise estimation; adaptive speech detection; background noise; speech coding;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20073800
  • Filename
    4117482