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Voice enabled applications over the Internet are rapidly gaining popularity. Reducing the total bandwidth requirement can make a non-trivial difference for the subscribers having low speed connectivity. Voice Activity Detection algorithms for VoIP applications can save bandwidth by filtering the frames that do not contain speech. In this paper we introduce a novel technique to identify the voice and silent regions of a speech stream very much suitable for VoIP calls. We use an informationdoi:10.1109/glocom.2006.603 dblp:conf/globecom/PrasadMVSPN06 fatcat:igeg7w5zbrhqznmkqod2xdmeka