On autocorrelation equations as applied to speech analysis

Abstract

The mathematical theory underlying one of the techniques currently being used in linear prediction of speech is developed from an inner product formulation. This formulation produces a unified framework for studying the properties of autocorrelation equations. In particular, the solution and stability of the auto-correlation equations are studied in detail. Experimental stability results for finite word length analysis of speech are also presented.