An evaluation of using mutual information for selection of acoustic-features representation of phonemes for speech recognition

Abstract

This paper addresses the problem of finding a subset of the acoustic feature space that best represents the phoneme set used in a speech recognition system. A maximum mutual information approach is presented for selecting acoustic features to be combined together to represent the distinctions among the phonemes.