• DocumentCode
    2999286
  • Title

    Automatic generation of synthesis units based on context oriented clustering

  • Author

    Nakajima, Shin-Ya ; Hamada, Hiroshi

  • Author_Institution
    NTT Human Interface Lab., Kanagawa, Japan
  • fYear
    1988
  • fDate
    11-14 Apr 1988
  • Firstpage
    659
  • Abstract
    The authors propose a text-to-speech synthesis method based on automatic synthesis unit generation techniques using a natural speech database. They have termed the automatic procedure context oriented clustering (COC). Using the COC procedure, 627 phonetic synthesis units were generated automatically based on 432 words uttered by a male speaker. This systematic approach has several advantages. First, as synthesis units can be generated automatically without any a priori phonological knowledge, it is easy to change the number of units and voices. Second, following from this, the technique can be applied to any language. Third, the generation of allophonic synthesis units is not dependent on the human decisions but on the statistical characteristics of spectral parameters in natural speech. Thus, the generated units are more consistent that those obtained through other methods, with the result that more intelligible speech can be reconstructed
  • Keywords
    database management systems; speech synthesis; allophonic synthesis units; automatic synthesis unit generation; context oriented clustering; male speaker; natural speech; natural speech database; phonetic synthesis units; phonological knowledge; spectral parameters; statistical characteristics; text-to-speech synthesis; Character generation; Databases; Humans; Laboratories; Manuals; Natural languages; Speech coding; Speech recognition; Speech synthesis; Synthesizers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1988.196672
  • Filename
    196672