• DocumentCode
    3561473
  • Title

    Parameter Generation Considering LSP Ordering Property for HMM-Based Speech Synthesis

  • Author

    Qian, Shijun ; Wang, Huanliang ; Pei, Wenjiang ; Wang, Kai

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
  • Volume
    19
  • Issue
    8
  • fYear
    2012
  • Firstpage
    467
  • Lastpage
    470
  • Abstract
    The ordering property of LSP cannot be guaranteed during HMM-based speech synthesis when LSP is adopted as the spectrum feature, with the result that naturalness of synthetic speech will degrade. This letter introduces a modified parameter generation method to preserve ordering property of generated LSPs, by not only maximizing the likelihoods of HMM and global variance (GV) as in conventional method but also minizing a penalty on mis-orderings. Experimental results show that the proposed method can alleviate the mis-orderings significantly and achieve high quality synthesizing performance when the penalty weight is selected appropriately.
  • Keywords
    hidden Markov models; speech synthesis; HMM likelihoods; HMM-based speech synthesis; LSP ordering property; global variance; hidden Markov model; high quality synthesizing performance; misorderings; modified parameter generation method; spectrum feature; synthetic speech; Acoustics; Equations; Hidden Markov models; Mathematical model; Speech; Speech synthesis; Training; Speech synthesis; hidden Markov model; line spectral pair; parameter generation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • Conference_Location
    6/6/2012 12:00:00 AM
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2012.2203593
  • Filename
    6213073