Double-Talk Detection Algorithm Based on the l_2 Norm

0　IntroductionInmultimediacommunicationsystems,thecomplexcouplingbetweenaloudspeakerandamicrophonecanproduceechowhichwillseriouslycutdownthecommunicationquality .Soitiscrucialtocanceltheechowithsomeeffectivemethods.Acousticechocancellers(AEC)areusuallyusedtoeliminatelongdelayechointerferences.Typicalapplicationsareinlongdistancetelephonecircuitsorinterminalswherelongprocessingdelayexists.Fig .1showsthebasicstructureofanadaptivevoiceechocanceller.Fig .1　Thebasicstructureofanadaptivevoiceec…

Double-Talk Detection Algorithm Based on the l2 Norm

Echo canceller generally needs a double-talk detector which is used to keep the adaptive filter from diverging in the appearance of near-end speech. In this paper we adopt a new double-talk detection algorithm based on l 2 norm to detect the existence of near-end speech in an acoustic echo canceller. We analyze this algorithm from the point of view of functional analysis and point out that the proposed double-talk detection algorithm has the same performance as the classic one in a finite Banach space. The remarkable feature of this algorithm is its higher accuracy and better computation complexity. The fine properties of this algorithm are confirmed by computer simulation and the application in a multimedia communication system.