• DocumentCode
    1901743
  • Title

    Automatic phonetic baseform determination

  • Author

    Bahl, L.R. ; Das, S. ; deSouza, P.V. ; Epstein, M. ; Mercer, R.L. ; Merialdo, B. ; Nahamoo, D. ; Picheny, M.A. ; Powell, J.

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    173
  • Abstract
    The authors describe a series of experiments in which the phonetic baseform is deduced automatically for new words by utilizing actual utterances of the new word in conjunction with a set of automatically derived spelling-to-sound rules. Recognition performance was evaluated on new words spoken by two different speakers when the phonetic baseforms were extracted via the above approach. The error rates on these new words were found to be comparable to or better than when the phonetic baseforms were derived by hand, thus validating the basic approach
  • Keywords
    acoustic signal processing; speech recognition; error rates; recognition performance; speech recognition; spelling-to-sound rules; Dictionaries; Speech recognition; Speech synthesis; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.150305
  • Filename
    150305