• DocumentCode
    2707126
  • Title

    Performance of Voice Conversion Systems Based on GMM and Applied to Arabic Language

  • Author

    Guerid, A. ; Houacine, A.

  • Author_Institution
    Commun.´´s Lab. & Signals Treatment, USTHB, Algiers, Algeria
  • fYear
    2009
  • fDate
    28-30 Dec. 2009
  • Firstpage
    118
  • Lastpage
    121
  • Abstract
    Voice conversion (VC) consists in modification of the source interlocutor’s voice toward another voice of the target interlocutor. In this article, we are studying the different performances of the standard Arabic speech conversion and in particular that of the vocal tract. We have used a regularized discrete cepstrum in order to estimate the spectrum of the speech signal and the parameters of a GMM model. We have raised the number or amount of the mixture Gaussians to 512 in order to calculate the conversion function.
  • Keywords
    Cepstrum; Covariance matrix; Frequency; Gaussian distribution; Gaussian processes; Informatics; Laboratories; Probability; Speech; Virtual colonoscopy; Gaussien Mixture Model (GMM); Voice conversion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MEMS, NANO, and Smart Systems (ICMENS), 2009 Fifth International Conference on
  • Conference_Location
    Dubai, United Arab Emirates
  • Print_ISBN
    978-0-7695-3938-6
  • Electronic_ISBN
    978-1-4244-5616-1
  • Type

    conf

  • DOI
    10.1109/ICMENS.2009.19
  • Filename
    5489359