• DocumentCode
    1682220
  • Title

    Modelling durations in hidden Markov models with application to word spotting

  • Author

    du Preez, J.A.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Stellenbosch Univ., South Africa
  • fYear
    1991
  • fDate
    8/30/1991 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The conventional hidden Markov model models speech fairly well with the exception of parameters that are segment-based rather than frame-based. Duration of different acoustic segments, e.g. phonemes, falls into this category. Methods are described which solve this problem. For computational purposes sub-optimal methods are often used. This paper also deals with an improvement to such an algorithm that is in current use. Some results utilizing this algorithm are given
  • Keywords
    Markov processes; speech recognition; HMM; algorithm; duration modelling; hidden Markov model; phonemes; speech recognition; sub-optimal methods; word spotting; Acoustical engineering; Automatic speech recognition; Feature extraction; Hidden Markov models; Joining processes; Probability density function; Speech recognition; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing, 1991. COMSIG 1991 Proceedings., South African Symposium on
  • Conference_Location
    Pretoria
  • Print_ISBN
    0-7803-0040-8
  • Type

    conf

  • DOI
    10.1109/COMSIG.1991.278213
  • Filename
    278213