Voice activity detection using smoothed-fuzzy entropy (smFuzzyEn) and support vector machine

In this paper a novel voice activity detection approach using smoothed fuzzy entropy (smFuzzyEn) feature using support vector machine is proposed. The proposed approach (smFESVM) uses total variation filter and Savitzky-Golay filter to smooth the FuzzyEn feature extracted from the noisy speech...

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Bibliografiske detaljer
Udgivet i:Journal of Applied Research and Technology
Main Authors: R. Johny Elton, P. Vasuki, J. Mohanalin, J. S. Gnanasekaran
Format: Artigo
Sprog:Inglês
Udgivet: Universidad Nacional Autónoma de México 2019
Fag:
Ingeniería
Savitzky
Golay filter
Fuzzy Entropy
Support Vector Machine
Total variation filter
Online adgang:https://www.redalyc.org/articulo.oa?id=47471641002
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