Fuzzy evolutionary programming for hidden Markov modelling in speaker identification

Abstract

Gibbs distribution is used to represent fuzzy codebooks of individual speakers. The method of fuzzy evolutionary programming is employed to create the fuzzy codebooks and also to train hidden Markov models of speakers. This method increases the chance of attaining global maxima in the Baum-Welch algorithm for hidden Markov model re-estimation. The experiments show the results of speaker identification are very encouraging.