Speech analysis by estimating perceptually relevant pole locations

An approach for estimating the perceptually-relevant pole locations is described. These "perceptual poles" are determined by using an auditory excitation pattern-matching method. The estimated perceptual poles are then used to construct a perceptually-motivated all-pole (PMAP) filter for use in speech analysis/synthesis. The proposed PMAP approach is compared against some of the existing perceptually-based linear prediction (LP) methods, i.e., the perceptual LP and the warped LP. The PMAP approach compares well against the perceptual LP and the warped LP in terms of speech reconstruction quality and estimation of the formant frequencies.