• DocumentCode
    607690
  • Title

    Spectral distance measures for matching consecutive speech segments

  • Author

    Akdemir, E.

  • Author_Institution
    ASELSAN Inc., Ankara, Turkey
  • fYear
    2013
  • fDate
    24-26 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this study, spectral distance measures are compared for the task of matching consecutive speech segments. A new distance measure is proposed for this task, which decreases the error of the segment matching system from %16.6-22.1 to %9.8-12.5. A decision refinement algorithm based on pitch period estimation and LPC parameters is developed. The error of the system is reduced to %8.6-9.8 by using this algorithm.
  • Keywords
    estimation theory; speech processing; LPC parameter; consecutive speech segment matching; decision refinement algorithm; pitch period estimation; spectral distance measure; Measurement uncertainty; Mel frequency cepstral coefficient; Speech; Speech processing; Speech recognition; spectral distance; speech continuity measures; speech distance measures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2013 21st
  • Conference_Location
    Haspolat
  • Print_ISBN
    978-1-4673-5562-9
  • Electronic_ISBN
    978-1-4673-5561-2
  • Type

    conf

  • DOI
    10.1109/SIU.2013.6531351
  • Filename
    6531351
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=607690