DocumentCode
1399742
Title
Improvements in HMM-based isolated word recognition system
Author
Peinado, A.M. ; Lopez, J.M. ; Sanchez, V.E. ; Segura, J.C. ; Ayuso, A. J Rubio
Author_Institution
Dept. de Electro. y Tecnologia de Computadores, Granada Univ., Spain
Volume
138
Issue
3
fYear
1991
fDate
6/1/1991 12:00:00 AM
Firstpage
201
Lastpage
206
Abstract
A speaker-independent isolated word recognition system for voice-activated robots is introduced. Since such an application requires a fast and accurate recognition system, discrete hidden Markov models and vector quantisation techniques have been used. Different initialisations for VQ and HMM training are tested to obtain improvements over the other systems. The final models can be evaluated using a temporal normalisation of the HMM scores. A threshold-based rejector can also be established using this temporal normalisation.<>
Keywords
Markov processes; data compression; encoding; speech recognition; HMM scores; HMM-based isolated word recognition system; discrete hidden Markov models; speaker-independent system; temporal normalisation; threshold-based rejector; training algorithms; vector quantisation; voice-activated robots;
fLanguage
English
Journal_Title
Communications, Speech and Vision, IEE Proceedings I
Publisher
iet
ISSN
0956-3776
Type
jour
Filename
87866
Link To Document