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Proceedings Paper

Biometric speaker classification
Author(s): Douglas J. Nelson; David C. Smith; D. J. Richman; Goffrey Townsend
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Paper Abstract

We address the problem of classification of speakers based on measurements of features obtained from their speech. The process is an adaption of biometric methods used to identify people. The process for speech differs since speech is not stationary. We therefore propose the classification of speakers b y the statistical distributions of parameters which may be accurately estimated by modern signal processing techniques. The intent is to develop a speaker clustering algorithm which is dependent of transmission channel and insensitive to language variations, and which may be re-trained, with minimal data, to include a new speaker. We demonstrate effectiveness on the problem of identification of the speakers gender, and present evidence that the methods may be extended to the general problem of speaker identification.

Paper Details

Date Published: 13 October 2000
PDF: 9 pages
Proc. SPIE 4120, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation III, (13 October 2000); doi: 10.1117/12.403622
Show Author Affiliations
Douglas J. Nelson, U.S. Dept. of Defense (United States)
David C. Smith, U.S. Dept. of Defense (United States)
D. J. Richman, U.S. Dept. of Defense (United States)
Goffrey Townsend, U.S. Dept. of Defense (United States)


Published in SPIE Proceedings Vol. 4120:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation III
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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