Modifying voice activity detection in low SNR by correction factors

Authors:
H. Farsi;M. A. Mozaffarian;H. Rahmani
Affiliations:
Department of Electrical Engineering, University of Birjand, Iran;Department of Electrical Engineering, University of Birjand, Iran;Department of Electrical Engineering, University of Birjand, Iran
Venue:
CISST'09 Proceedings of the 3rd WSEAS international conference on Circuits, systems, signal and telecommunications
Year:
2009

Citing 2
Cited 0

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Abstract

In this paper, by using a new estimation algorithm, we present a novel method to improve the performance of VAD systems in various noisy environments. We study the performance of Gamma, Laplacian and Gaussian distributions in low SNR and then modify the best one with correction factors.