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Multistage Decision Schemes for Speaker Recognition

Dante, HM and Sarma, VVS and Dattaterya, GR (1979) Multistage Decision Schemes for Speaker Recognition. In: 1979 IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP '79, April, Vol.4, 797-800.

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Speaker recognition schemes which work satisfactorily for small populations often fail when the number of classes is very large. One way of solving such problems is to go in for multistage classification schemes. The basic technique is to successively reduce the number of classes in several stages using one feature at each stage and when the number of classes is less than a predetermined value then the final decision is made. The whole scheme is designed so that the probability of error is fixed at an acceptable level. The computational cost of such a multistage scheme depends on the features used at each stage and the cost of measurement of each feature. The features to be used at each stage are determined so as to reduce the average computational cost for making a decision. This procedure is formulated as a stochastic optimal control problem and is illustrated by designing speaker recognition system for 60 speakers. The overall accuracy of the system is 97.2 %.

Item Type: Conference Paper
Publisher: IEEE
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.ac.in/id/eprint/6941

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