• DocumentCode
    3342712
  • Title

    Acoustics-only based automatic phonetic baseform generation

  • Author

    Ramabhadran, Bhuvana ; Bahl, L.R. ; deSouza, P.V. ; Padmanabhan, M.

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    12-15 May 1998
  • Firstpage
    309
  • Abstract
    Phonetic baseforms are the basic recognition units in most speech recognition systems. These baseforms are usually determined by linguists once a vocabulary is chosen and not modified thereafter. However, several applications, such as name dialing, require the user be able to add new words to the vocabulary. These new words are often names, or task-specific jargon, that have user-specific pronunciations. This paper describes a novel method for generating phonetic transcriptions (baseforms) of words based on acoustic evidence alone. It does not require either the spelling or any prior acoustic representation of the new word, is vocabulary independent, and does not have any linguistic constraints (pronunciation rules). Our experiments demonstrate the high decoding accuracies obtained when baseforms deduced using this approach are incorporated into our speech recognizer. Also, the error rates on the added words were found to be comparable to or better than when the baseforms were derived by hand
  • Keywords
    acoustic signal processing; decoding; linguistics; natural languages; speech recognition; acoustic evidence; automatic phonetic baseform generation; decoding accuracies; error rates; experiments; linguists; name dialing; new words; phonetic baseforms; phonetic transcriptions; recognition units; speech recognition systems; speech recognizer; task-specific jargon; user-specific pronunciations; vocabulary; vocabulary independent method; Automatic speech recognition; Decoding; Error analysis; Loudspeakers; Speech recognition; Telephony; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-4428-6
  • Type

    conf

  • DOI
    10.1109/ICASSP.1998.674429
  • Filename
    674429