• DocumentCode
    3164451
  • Title

    Exemplar-based pitch contour generation using DOP for syntactic tree decomposition

  • Author

    Abou-Zleikha, Mohamed ; Cahill, Peter ; Carson-Berndsen, Julie

  • Author_Institution
    CNGL, Univ. Coll. Dublin, Dublin, Ireland
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    4585
  • Lastpage
    4588
  • Abstract
    The generation of a pitch contour from linguistic information has long been recognised as a requirement for natural sounding speech synthesis. This paper investigates the use of an exemplar-based model for pitch contour generation. The main drawbacks of previous unit selection-based approaches for pitch contour generation is determining the size of the unit, and to guarantee that only prosodic and linguistically related units will be selected. The work presented in this paper overcomes these drawbacks by using only prosodic-syntactic correlated data, and a dynamic unit size model using data-oriented parsing. An AB comparison perceptual test showed 58% preference for the exemplar-based model, 25% for a HTS model, and 17% find both the same in terms of naturalness and pitch. In a MOS test, exemplar-based model achieved higher scores than that the HTS model achieved.
  • Keywords
    linguistics; speech synthesis; trees (mathematics); AB comparison perceptual test; HTS model; MOS test; data oriented parsing; data-oriented parsing; dynamic unit size model; exemplar-based model; exemplar-based pitch contour generation; linguistic information; natural sounding speech synthesis; previous unit selection-based approaches; prosodic-syntactic correlated data; syntactic tree decomposition; Data models; Educational institutions; Hidden Markov models; High temperature superconductors; Speech; Speech synthesis; Syntactics; Exemplar-based pitch generation; Intonation generation; Prosody generation; Speech synthesis; syntactic-prosodic correlation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288939
  • Filename
    6288939