All-pole modeling of wide-band speech with symmetric linear prediction

A new linear predictive technique, all-pole modeling with symmetric linear prediction (ASLP), is presented. The starting point of the method is an implementation of conventional linear prediction (LP) with a parallel structure, where two symmetric linear predictors are combined to prefilters represented by first order FIRs. Modification of these prefilters yields the ASLP predictor, which is always minimum phase. Experiments indicate that the new method models the formant structure of wide-band speech more accurately than conventional LP, when the prediction order is smaller than the one required by the sampling frequency.