• DocumentCode
    394299
  • Title

    Inversion of F0 model for natural-sounding speech synthesis

  • Author

    Rossi, Pierluigi Salvo ; Palmieri, Francesco ; Cutugno, Francesco

  • Author_Institution
    Dipt. di Inf. e Sistemistica, Naples Univ., Italy
  • Volume
    1
  • fYear
    2003
  • fDate
    6-10 April 2003
  • Abstract
    Natural-sounding speech synthesizers require information from a model quantitatively describing prosody. H. Fujisaki\´s model (see "Dynamic Characteristics of Voice Fundamental Frequency in Speech and Singing", The Production of Speech, Springer-Verlag, p.39-47, 1983) has shown considerable accuracy on many languages (Fujisaki et al., IEEE Int. Conf. on Acoustics, Speech and Sig. Processing, vol.2, p.211-14, 1993; Fujisaki and Ohno, S., Fourth Int. Conf. on Sig. Processing, vol.1, p.714-17,1998). We propose a method for the estimation of Fujisaki\´s model parameters, i.e., inversion methods, based on the relative extremes of the pitch contour and a gradient algorithm refinement procedure. Preliminary results show excellent performance of the proposed method in matching the pitch contours. Preliminary results of synthesis making use of the obtained features are very encouraging.
  • Keywords
    feature extraction; gradient methods; natural languages; parameter estimation; speech synthesis; F0 model inversion; Italian continuous speech; fundamental frequency; gradient algorithm refinement procedure; inversion methods; model feature extraction; natural-sounding speech synthesis; parameter estimation; pitch contour; prosody; Feature extraction; Filtering; Filters; Fluctuations; Inverse problems; Mean square error methods; Solids; Speech synthesis; Testing; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7663-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2003.1198832
  • Filename
    1198832