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http://dx.doi.org/10.9717/kmms.2013.16.9.1005

Voice Activity Detection Algorithm using Wavelet Band Entropy Ensemble Analysis in Car Noisy Environments  

Lee, G.H. (경북대학교 대학원 의용생체공학과)
Lee, Y.J. (경북대학교 대학원 의용생체공학과)
Kim, M.N. (경북대학교 의학전문대학원 의공학교실)
Publication Information
Journal of Korea Multimedia Society / v.16, no.9, 2013 , pp. 1005-1017 More about this Journal
Abstract
Voice activity detection is very important process that voice activity separated form noisy speech signal for speech enhance. Over the past few years, many studies have been made on voice activity detection, but it has poor performance in low signal to noise ratio environment or fickle noise such as car noise. In this paper, it proposed new voice activity detection algorithm using ensemble variance based on wavelet band entropy and soft thresholding method. We conduct a survey in a lot of signal to noise ratio environment of car noise to evaluate performance of the proposed algorithm and confirmed performance of the proposed algorithm.
Keywords
Voice Activity Detection; Entropy; Wavelet Band; Ensemble; Car Noise;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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