Noise robust voice activity detection using normal probability testing and time-domain histogram analysis
Ghaemmaghami, Houman, Dean, David B., Sridharan, Sridha, & Mccowan, Iain (2010) Noise robust voice activity detection using normal probability testing and time-domain histogram analysis. In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Sheraton Dallas, Dallas, Texas, pp. 4470-4473.
This paper presents a method of voice activity detection (VAD) suitable for high noise scenarios, based on the fusion of two complementary systems. The first system uses a proposed non-Gaussianity score (NGS) feature based on normal probability testing. The second system employs a histogram distance score (HDS) feature that detects changes in the signal through conducting a template-based similarity measure between adjacent frames. The decision outputs by the two systems are then merged using an open-by-reconstruction fusion stage. Accuracy of the proposed method was compared to several baseline VAD methods on a database created using real recordings of a variety of high-noise environments.
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|Item Type:||Conference Paper|
|Keywords:||decision fusion, histogram analysis, normal probability, voice activity detection|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2010 IEEE|
|Copyright Statement:||Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works|
|Deposited On:||22 Feb 2011 22:14|
|Last Modified:||19 Jun 2014 06:36|
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