PMID: 489818Feb 1, 1979Paper

Automatic speech recognition using psychoacoustic models

The Journal of the Acoustical Society of America
E ZwickerE Paulus

Abstract

An approach to automatic speech recognition is described, which, in a straightforward way, follows the concept of (1) preprocessing in terms of auditory parameters and (2) subsequent classification and recognition. The preprocessing system has been realized in analog hardware, while recognition is carried out on a digital computer. In the preprocessing system, the essential psychoacoustic principles of the perception of loudness, pitch, roughness, and subjective duration are implemented with some approximation. The system essentially consists of 24 bandpass filters, nonlinear transformation of each filter output into specific loudness and specific roughness, and final transformation of these parameters into total loudness, total roughness, and three spectral momenta. As a means to further reduce the information flow, continuous selection of dominant parameters is also considered on the basis of psychoacoustic data. The subsequent recognition process is mainly characterized by (1) discrimination between speech and silent periods, (2) detection of syllable peaks and classification of syllable nuclei, and (3) assumption of syllable boundaries and classification of consonant clusters. Though the entire system as yet is far from bei...Continue Reading

Citations

Mar 1, 1987·Cognition·D B Pisoni, P A Luce
Jul 1, 1985·The Journal of the Acoustical Society of America·D B Pisoni
Feb 1, 1985·Perception & Psychophysics·R B Ivry, P W Jusczyk
Jun 1, 1990·Perception & Psychophysics·R J Dooling, S D Brown
Nov 1, 2007·IEEE Transactions on Audio, Speech, and Language Processing·Dagen Wang, Shrikanth S Narayanan
May 30, 1998·The Journal of the Acoustical Society of America·S RosenA Darling

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