• DocumentCode
    3051874
  • Title

    A Research on Text analysis in Tibetan speech synthesis

  • Author

    Gao, Lu ; Yu, Hongzhi ; Li, Yonghong ; Liu, Jie

  • Author_Institution
    Key Lab. of China´´s Nat. Linguistic Inf. Technol., Northwest Univ. for Nat., Lanzhou, China
  • fYear
    2010
  • fDate
    20-23 June 2010
  • Firstpage
    817
  • Lastpage
    822
  • Abstract
    A Text analysis is the text to speech conversion system front-end, restricting the naturalness of speech synthesis is an important factor, this paper, study Chinese language text analysis program, based on the analysis of the characteristics of Tibetan language, proposed a set of speech synthesis for Tibetan text analysis module implementations. Maximum matching method used in the text and sub-word lexicon to achieve the method of combining text, automatic word segmentation, the establishment of a hierarchical system of rules for the conduct of standardized text processing, word pronunciation conversion through the SAMPA_ST standard pronunciation of the Tibetan Machine system implementation, The paper has laid a good foundation for the Tibetan speech synthesis.
  • Keywords
    natural language processing; pattern matching; speech synthesis; text analysis; SAMPA_ST standard pronunciation; Tibetan language; Tibetan machine system; Tibetan speech synthesis; automatic word segmentation; language text analysis program; maximum matching method; text processing; word pronunciation conversion; Information analysis; Information technology; Natural languages; Signal processing algorithms; Speech analysis; Speech coding; Speech processing; Speech synthesis; Standardization; Text analysis; Tibetan; automatic word segmentation; grapheme-phoneme conversion; speech synthesis; standardization; text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2010 IEEE International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-5701-4
  • Type

    conf

  • DOI
    10.1109/ICINFA.2010.5512462
  • Filename
    5512462