• DocumentCode
    2979086
  • Title

    Progress towards speech models that model speech

  • Author

    Russell, Martin

  • Author_Institution
    Speech Res. Unit, DERA, Malvern, UK
  • fYear
    1997
  • fDate
    14-17 Dec 1997
  • Firstpage
    115
  • Lastpage
    123
  • Abstract
    This paper presents a personal view of recent advances in automatic speech recognition. The analysis is concerned with progress in speech pattern modelling, rather than recogniser performance. Despite the limitations of current approaches, it is argued that extension and development of these techniques provides a viable way forward. It is further suggested that the significance of a number of recent developments, such as sub-band speech recognition and segment modelling, is primarily in their potential for overcoming fundamental limitations of current HMM-based approaches, and not in the short-term improvement in recognition accuracy which has been achieved
  • Keywords
    hidden Markov models; speech recognition; HMM; automatic speech recognition; hidden Markov model; segment modelling; speech models; speech pattern modelling; sub-band speech recognition; Automatic speech recognition; Error analysis; Hidden Markov models; Pattern analysis; Performance analysis; Speech analysis; Speech recognition; Surface structures; Training data; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Speech Recognition and Understanding, 1997. Proceedings., 1997 IEEE Workshop on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-7803-3698-4
  • Type

    conf

  • DOI
    10.1109/ASRU.1997.658995
  • Filename
    658995