  Article discusses the application of Kullback-Leibler divergence to the
recognition of speech signals and suggests three algorithms implementing this
divergence criterion: correlation algorithm, spectral algorithm and filter
algorithm. Discussion covers an approach to the problem of speech variability
and is illustrated with the results of experimental modeling of speech signals.
The article gives a number of recommendations on the choice of appropriate
model parameters and provides a comparison to some other methods of speech
recognition.
