Speech pattern generation and recognition using a personal computer

Abstract

A personal-computer-based system to generate and recognize speech patterns of discrete utterances from a limited vocabulary is described. The system implements a time-domain approach based on successive amplitude samples to develop a nonparametric characterization of utterances. Unknown words are recognized using a multiprototype minimum-distance classifier. The method is computationally simple and fast, and yields better word-recognition results than previously reported.<>