• DocumentCode
    2664202
  • Title

    A syllable-based pseudo-articulatory approach to speech recognition

  • Author

    Zhang, Li

  • Author_Institution
    Sch. of Comput. Sci., Univ. of Birmingham, UK
  • fYear
    2003
  • fDate
    26-29 Oct. 2003
  • Firstpage
    78
  • Lastpage
    83
  • Abstract
    We present an account of the use of syllable structure as the basis for a novel approach to speech recognition. This contrasts with the serial organization of more conventional phonetic segments, and their use in speech recognition systems. It is demonstrated that working with syllables provides the basis for linguistically motivated speech recognition using pseudo-articulatory representations (PARs). The results are very promising taking into account the preliminary nature of the work and the novelty of the approach.
  • Keywords
    hidden Markov models; speech processing; speech recognition; phonetic segments; pseudo-articulatory representations; speech recognition systems; syllable-based pseudo-articulatory approach; Computational modeling; Computer science; Face recognition; Feature extraction; Hidden Markov models; Labeling; Natural languages; Pattern recognition; Speech processing; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003 International Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    0-7803-7902-0
  • Type

    conf

  • DOI
    10.1109/NLPKE.2003.1275872
  • Filename
    1275872