On the use of Expert Systems for Speaker Verification
In this paper we report on the use of Expert System shells for automatic speaker verification over the public telephone network. The operation of the automatic speaker verification system, (ASV), is based on LPC normalized and differenced cepstrum coefficients. An Expert System has been introduced to assist in the construction of the reference templates. This Expert System is based on rules that relate to outlier detection through K-Means clustering among the training tokens for each verification word. The Expert System has additional rules referring to the combination of independent statistical classifiers for the classification of unlabelled utterances. The classifiers considered in this paper are the standard Gaussian classifier, the Quadratic classifier and the Fourier-Bessel classifier.
The effect of the introduction of the Expert System into the Verification process was evaluated in terms of the average verification error rates using three verification words and a population of sixty speakers.
KeywordsExpert System Speaker Verification Training Token Reference Template Speaker Verification System
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