• DocumentCode
    2858992
  • Title

    Automatic evaluation of synthesized speech

  • Author

    Martincic-Ipsic, Sanda ; Pobar, Miran ; Ipsic, I.

  • Author_Institution
    Dept. of Inf., Univ. of Rijeka, Rijeka, Croatia
  • fYear
    2009
  • fDate
    22-25 June 2009
  • Firstpage
    305
  • Lastpage
    310
  • Abstract
    This paper presents the development of a Croatian text-to-speech (TTS) system capable of synthesizing speech from arbitrary text. For speech generation pitch synchronous overlap and add (PSOLA) and hidden Markov models (HMM) based methods were used. The generated Croatian speech was evaluated subjectively by the mean opinion score (MOS) of the 40 evaluators and objectively by the automatic speech recognition (ASR) system. In the paper we propose an evaluation approach which combines objective and subjective evaluation results.
  • Keywords
    hidden Markov models; speech synthesis; Croatian text-to-speech system; HMM; MOS; PSOLA; TTS system; automatic speech recognition system; hidden Markov model; mean opinion score; pitch synchronous overlap-and-add; speech synthesis; Application software; Automatic speech recognition; Dictionaries; Frequency estimation; Hidden Markov models; Informatics; Natural languages; Speech analysis; Speech synthesis; Text analysis; ASR; Hidden Markov Models; MOS evaluation; PSOLA; diphone speech synthesis; speech synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Interfaces, 2009. ITI '09. Proceedings of the ITI 2009 31st International Conference on
  • Conference_Location
    Dubrovnik
  • ISSN
    1330-1012
  • Print_ISBN
    978-953-7138-15-8
  • Type

    conf

  • DOI
    10.1109/ITI.2009.5196099
  • Filename
    5196099