Voice Activity Detection Based on Generalized Normal-Laplace Distribution Incorporating Conditional MAP

In this paper, we propose a novel voice activity detection (VAD) algorithm based on the generalized normal-Laplace (GNL) distribution to provide enhanced performance in adverse noise environments. Specifically, the probability density function (PDF) of a noisy speech signal is represented by the GNL...

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Veröffentlicht in:	IEICE Transactions on Information and Systems 2013/12/01, Vol.E96.D(12), pp.2888-2891
Hauptverfasser:	SONG, Ji-Hyun, LEE, Sangmin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences conditional maximum a posteriori Correlation Detection, estimation, filtering, equalization, prediction Discrimination Exact sciences and technology generalized normal-Laplace distribution higher order moments Information, signal and communications theory Noise Probability density functions Radiocommunications Receivers Signal and communications theory Signal processing Signal, noise Speech Speech processing Telecommunications Telecommunications and information theory Transmitters. Receivers Voice voice activity detection
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