• DocumentCode
    2287394
  • Title

    A comprehensive analysis, synthesis system and synthesis methodology for the production of high quality speech

  • Author

    Andrews, Justin ; Curtis, Menyn

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Nottingham Univ., UK
  • fYear
    1994
  • fDate
    13-16 Apr 1994
  • Firstpage
    591
  • Abstract
    The paper presents a complete speech synthesis system, which addresses the problems of accurate formant analysis and synthesis to produce high quality natural-sounding multi-gender/multi-language speech. The system comprises two main elements; the Nottingham Parallel Seven Formant Speech Synthesizer implemented on a multi-transputer network for real time execution, and a highly accurate formant analysis system based on the group delay function. The paper also presents a systematic approach to the definition of a speech demisyllable database which can be used for parametric or non-parametric speech synthesis of the German language. The results of the analysis and synthesis of speech sounds and a male German utterance are presented
  • Keywords
    natural languages; parallel architectures; real-time systems; speech synthesis; transputer systems; German language; Nottingham Parallel Seven Formant Speech Synthesizer; formant analysis; group delay function; high quality speech; multigender multilanguage speech; multitransputer network; nonparametric speech synthesis; parametric speech synthesis; real time execution; speech demisyllable database; synthesis methodology; synthesis system; Cepstral analysis; Databases; Information analysis; Linear predictive coding; Natural languages; Production systems; Speech analysis; Speech recognition; Speech synthesis; Synthesizers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
  • Print_ISBN
    0-7803-1865-X
  • Type

    conf

  • DOI
    10.1109/SIPNN.1994.344842
  • Filename
    344842