• DocumentCode
    2899318
  • Title

    Vector quantization of the HMM distributions: further results

  • Author

    Frangoulis, E.

  • Author_Institution
    Logica Cambridge Ltd., UK
  • fYear
    1990
  • fDate
    3-6 Apr 1990
  • Firstpage
    557
  • Abstract
    The statistical vector quantization approach is extended to cepstral features and cepstral features augmented by differenced cepstral coefficients. The use of binary tree search codebooks is investigated. A suboptimal algorithm for obtaining binary tree search codebooks is presented. The new techniques are evaluated in terms of their recognition performance with the digits vocabulary. Experimental results indicate that the degradation introduced by this technique is much smaller than the degradation caused by conventional binary search codebooks
  • Keywords
    Markov processes; encoding; search problems; speech recognition; trees (mathematics); binary tree search codebooks; cepstral features; digits vocabulary; hidden Markov model; speech recognition; statistical vector quantization; Binary trees; Books; Cepstral analysis; Degradation; Filter bank; Gaussian distribution; Hidden Markov models; Speech coding; Statistical distributions; Testing; Vector quantization; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
  • Conference_Location
    Albuquerque, NM
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1990.115773
  • Filename
    115773