Perceptually-Motivated All-Pole Modeling

A new speech analysis-synthesis approach that is based on a perceptually-motivated all-pole (PMAP) modeling is described. The main idea is to directly estimate the perceptually relevant pole locations using an auditory excitation pattern-matching method. The all-pole model is synthesized using the perceptual poles and produces improved spectral fitting. We show that the prediction residual obtained from the PMAP analysis has lower perceptual loudness relative to that of the conventional LP.