Voice Activity Detection Using Fuzzy Entropy and Support Vector Machine

Voice Activity Detection Using Fuzzy Entropy and Support Vector Machine

This paper proposes support vector machine (SVM) based voice activity detection using FuzzyEn to improve detection performance under noisy conditions. The proposed voice activity detection (VAD) uses fuzzy entropy (FuzzyEn) as a feature extracted from noise-reduced speech signals to train an SVM mod...

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Bibliographic Details
Main Authors:	R. Johny Elton, P. Vasuki, J. Mohanalin
Format:	Article
Language:	English
Published:	MDPI AG 2016-08-01
Series:	Entropy
Subjects:	voice activity detection fuzzy entropy support vector machine k-NN
Online Access:	http://www.mdpi.com/1099-4300/18/8/298

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