Feature selection using genetic algorithm and its application to speaker verification

Abstract

It is shown that a reduction of the set that contains 24 parameters (i.e. the base set) to one that contains only 5, 6, 7, 8 or 10 parameters using a genetic algorithm increases the recognition rate by similar to 4.5%. Also, a 0.8% increase in the recognition rate is obtained when a mixture of Gaussian densities are used instead of a single Gaussian density to represent a speaker.