Speaker identification using radial basis functions

Mak, Man-Wai, Allen, William and Sexton, Graham (1993) Speaker identification using radial basis functions. In: Artificial Neural Networks, 1993., Third International Conference on. IET, pp. 138-141. ISBN 0-85296-573-7

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Abstract

This paper describes a text-independent speaker identification system based on Radial Basis Functions (RBF) networks. Both text-dependent and text-independent speaker identification experiments have been conducted. The database contains 7 sentences and 10 digits spoken by 20 speakers over a period of 9 months. LPC-derived cepstrum coefficients are used as the speaker specific features. The results show that RBF networks offer fast learning speed and good generalization even in text-independent mode. Moreover, a robustness test has been carried out which demonstrates that RBF networks provide sufficient information to produce a `no match' decision in speaker identification applications.

Item Type:	Book Section
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	18 Feb 2015 10:36
Last Modified:	13 Oct 2019 00:23
URI:	http://nrl.northumbria.ac.uk/id/eprint/18645

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