• DocumentCode
    1682797
  • Title

    Speech recognition using TES symbols

  • Author

    Joubert, L.J. ; du Toit, J.C. ; van Schalkwyk, J.J.D.

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Pretoria Univ., South Africa
  • fYear
    1991
  • fDate
    8/30/1991 12:00:00 AM
  • Firstpage
    116
  • Lastpage
    119
  • Abstract
    This paper describes tests to determine whether time-encoded speech symbols can be used as a symbol feature set for speech recognition. For this purpose isolated word recognition (more specifically digit recognition) is investigated, using a vocabulary consisting of the 10 digits in Afrikaans. Three different speakers were used to compile the database. TES symbols were used to obtain classification results by means of both a Markov model and a neural network
  • Keywords
    Markov processes; encoding; neural nets; speech recognition; Afrikaans; Markov model; classification; database; digit recognition; isolated word recognition; neural network; speech recognition; time-encoded speech symbols; Databases; Electronic equipment testing; Encoding; Frequency; Hidden Markov models; Shape measurement; Signal processing; Speech processing; 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.1991.278234
  • Filename
    278234