NAISTAR
Advanced Search
Japanese | English

naistar (NAIST Academic Repository) >
学術リポジトリ naistar / NAIST Academic Repository naistar >
学術雑誌論文 / Journal Article >
情報科学研究科 / Graduate School of Information Science >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10061/7792

Title: Negentropy based voice-activity detection for noise estimation in very low SNR condition
Authors: Rajkishore Prasad
Hiroshi Saruwatari
Kiyohiro Shikano
Keywords: Negentropy
VAD
Generalized Gaussian distribution
noise
Issue Date: Nov-2004
Publisher: 電子情報通信学会
Journal Title: IEICE Electronics Express
Volume: 1
Issue: 16
Start page: 495
End page: 500
Abstract: The spectral organization in a noisy speech is different during noise-only portions and speech portions. Such chaotic difference can be tracked by using negentropy as a measure. Accordingly, a Voice Activity Detector (VAD) based on the negentropy measure of magnitude of spectral components of the pseudo-stationary segments of speech is proposed and has been used for the estimation of noise statistics from the noisy speech signal in very low SNR conditions. The results show the effectiveness and usefulness of the proposed method under very noisy conditions.
URI: http://hdl.handle.net/10061/7792
URL: https://search.ieice.org/
ISSN: 1349-2543
Rights: Copyright (C) 2004 電子情報通信学会.
Text Version: publisher
Publisher DOI: 10.1587/elex.1.495
Appears in Collections:情報科学研究科 / Graduate School of Information Science

Files in This Item:

File SizeFormat
IEICEElecEx_1_16_495.pdf6.49 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Copyright (c) 2007-2012 Nara Institute of Science and Technology All Rights Reserved.
DSpace Software Copyright © 2002-2010  Duraspace - Feedback