• DocumentCode
    1089359
  • Title

    Pitch Contour Stylization Using an Optimal Piecewise Polynomial Approximation

  • Author

    Ghosh, Prasanta Kumar ; Narayanan, Shrikanth S.

  • Author_Institution
    Signal Anal. & Interpretation Lab., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    16
  • Issue
    9
  • fYear
    2009
  • Firstpage
    810
  • Lastpage
    813
  • Abstract
    We propose a dynamic programming (DP) based piecewise polynomial approximation of discrete data such that the L 2 norm of the approximation error is minimized. We apply this technique for the stylization of speech pitch contour. Objective evaluation verifies that the DP based technique indeed yields minimum mean square error (MSE) compared to other approximation methods. Subjective evaluation reveals that the quality of the synthesized speech using stylized pitch contour obtained by the DP method is almost identical to that of the original speech.
  • Keywords
    dynamic programming; least mean squares methods; piecewise polynomial techniques; speech synthesis; MSE; approximation error; discrete data; dynamic programming; minimum mean square error; optimal piecewise polynomial approximation; pitch contour stylization; speech pitch contour; synthesized speech; Piecewise polynomial approximation; pitch stylization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2009.2025824
  • Filename
    5089445