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Automatic Speaker Identification For a Large Number of Speakers

Dante, HM and Sarma, VVS (1978) Automatic Speaker Identification For a Large Number of Speakers. In: 1978 IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP '78, April, Vol.3, 295 -298.

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Abstract

Design of speaker identification systems for a small number of speakers (around 10) with a high degree of accuracy has evolved over the past few years. A sequential identification technique gives better results when the number of speakers is large. This scheme is implemented as a decision tree classifier in which the final decision is made only after a predetermined number of stages. The error rate could be controlled consistent with the features selected. This paper describes a 2-stage decision tree classifier implemented on a HP Fourier analyser system for identification of 30 speakers. The scheme proceeds as follows. At the first stage of the decision tree the population under consideration is reduced by a factor of 3 with high degree of accuracy, and at the second stage, the scheme available for ten speaker identification is used, The computational savings and performance achieved are compared with that obtained in a single stage classifier.

Item Type: Conference Paper
Additional Information: Copyright 1973 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 30 May 2006
Last Modified: 19 Sep 2010 04:27
URI: http://eprints.iisc.ernet.in/id/eprint/6933

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