On the Application of Vector Quantization and Hidden Markov Models to Speaker-Independent, Isolated Word Recognition

Abstract
In this paper we present an approach to speaker-independent, isolated word recognition in which the well-known techniques of vector quantization and hidden Markov modeling are combined with a linear predictive coding analysis front end. This is done ...

This publication has 11 references indexed in Scilit: