Noise Estimation Using Negentropy Based Voice-Activity Detector


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Title:	Noise Estimation Using Negentropy Based Voice-Activity Detector
Authors:	Raj Kishore Prasad Hiroshi Saruwatari Kiyohiro Shikano
Issue Date:	Jul-2004
Publisher:	IEEE
Start page:	149
End page:	152
Article Number:	2
Abstract:	This paper presents a noise robust voice activity detector (VAD) based on the chaos measure of the quasistationary segment of speech in the frequency domain. The basic idea behind the proposed method is that the addition of noise in the clean speech produces less disorganization in the speech part than the silent/paused part as a result of which spectral contents of the speech part become less chaotic than the silent part in a noisy speech signal. The negentropy can be used as the measure for such a distinction in organization and accordingly noisy speech frames and the noise-only frames are demarcated. The algorithm is almost independent of the SNR level of the noisy speech signal.
Description:	MWSCAS2004: the 47th IEEE International Midwest Symposium on Circuits and Systems, July 25-28, 2004, Hiroshima, Japan.
URI:	http://hdl.handle.net/10061/8234
ISBN:	078038346X
Rights:	Copyright 2004 IEEE
Text Version:	Publisher
Publisher DOI:	10.1109/MWSCAS.2004.1354113
Appears in Collections:	情報科学研究科 / Graduate School of Information Science

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