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Studies on Pattern Recognition Approach to Voiced-Unvoiced-Silence Classification

Sarma, VVS and Venugopal, D (1978) Studies on Pattern Recognition Approach to Voiced-Unvoiced-Silence Classification. In: 1978 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '78, April, Vol.3, 1-4.

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A pattern recognition approach for deciding whether a given segment of speech should be classified as voiced speech, unvoiced speech or silence based on a set of five measurements of the signal is given by Atal and Rabiner [1]. In this paper, we demonstrate that it is possible to achieve this classification with much less computational effort. These computational savings are mainly achieved by adopting a scheme based on the concept of variable decision space, using only three features and by avoiding the time consuming linear prediction analysis.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: Copyright 1978 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 Communication Engineering
Date Deposited: 25 May 2006
Last Modified: 19 Sep 2010 04:27
URI: http://eprints.iisc.ac.in/id/eprint/6875

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