• DocumentCode
    118457
  • Title

    Linear prediction analysis of crosscorrelation sequence for voiced speech

  • Author

    Liqing Liu ; Shimamura, Tetsuya

  • Author_Institution
    Saitama Univ., Saitama, Japan
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The conventional linear prediction (LP) analysis is known to suffer from problems that it is sensitive to additive noise. In this paper a new approach for LP analysis of crosscorrelation sequence between speech signal and its zero-crossing wave has been presented. Simulation results show that the proposed method is capable of performing the speech analysis under a white noisy environment.
  • Keywords
    correlation methods; linear predictive coding; speech processing; LP analysis; additive noise; crosscorrelation sequence; linear prediction analysis; speech analysis; speech signal; voiced speech; white noisy environment; zero-crossing wave; Additive noise; Cepstrum; Correlation; Noise measurement; Signal to noise ratio; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
  • Conference_Location
    Siem Reap
  • Type

    conf

  • DOI
    10.1109/APSIPA.2014.7041788
  • Filename
    7041788
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=118457