Departmental Papers (ESE)


In this paper, a new auditory-based speech processing system based on the biologically rooted property of the average localized synchrony detection (ALSD) is proposed. The system detects periodicity in the speech signal at Bark-scaled frequencies while reducing the response’s spurious peaks and sensitivity to implementation mismatches, and hence presents a consistent and robust representation of the formants. The system is evaluated for its formant extraction ability while reducing spurious peaks. It is compared with other auditory-based and traditional systems in the tasks of vowel and consonant recognition on clean speech from the TIMIT database and in the presence of noise. The results illustrate the advantage of the ALSD system in extracting the formants and reducing the spurious peaks. They also indicate the superiority of the synchrony measures over the mean-rate in the presence of noise.

Document Type

Journal Article

Date of this Version

July 2002


Copyright 2002 IEEE. Reprinted from IEEE Transactions on Speech and Audio Processing, Volume 10, Issue 5, July 2002, pages 279-292.
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ALSD, auditory, extraction, feature, formant, processing, recognition, speech, synchrony



Date Posted: 19 November 2004

This document has been peer reviewed.