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A Pattern Recognition Model of Voice-Based Personal Verification Systems for Forensic Applications

Dante, HM and Sarma, VVS (1980) A Pattern Recognition Model of Voice-Based Personal Verification Systems for Forensic Applications. In: IEEE Transactions on Systems, Man and Cybernetics,, 10 (9). pp. 585-588.

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Abstract-The success of automatic speaker recognition in laboratory environments suggests applications in forensic science for establishing the Identity of individuals on the basis of features extracted from speech. A theoretical model for such a verification scheme for continuous normaliy distributed featureIss developed. The three cases of using a) single feature, b)multipliendependent measurements of a single feature, and c)multpleindependent features are explored.The number iofndependent features needed for areliable personal identification is computed based on the theoretcal model and an expklatory study of some speech featues.

Item Type: Editorials/Short Communications
Publication: IEEE Transactions on Systems, Man and Cybernetics,
Publisher: IEEE
Additional Information: Copyright of this article belongs to 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 > Computer Science & Automation
Date Deposited: 07 Feb 2010 10:49
Last Modified: 19 Sep 2010 05:32
URI: http://eprints.iisc.ac.in/id/eprint/20259

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