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
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