Modulation Domain Spectral Subtraction for Speech Enhancement

File Size Format
61446_1.pdf 5352Kb Adobe PDF View
Title Modulation Domain Spectral Subtraction for Speech Enhancement
Author Paliwal, Kuldip Kumar; Schwerin, Belinda Marie; Wojcicki, Kamil
Publication Title Proceedings of Interspeech 2009
Editor Maria Uther, Roger Moore, Stephen Cox
Year Published 2009
Place of publication Australia
Publisher Causal Productions
Abstract In this paper we investigate the modulation domain as an alternative to the acoustic domain for speech enhancement. More specifically, we wish to determine how competitive the modulation domain is for spectral subtraction as compared to the acoustic domain. For this purpose, we extend the traditional analysis-modification-synthesis framework to include modulation domain processing. We then compensate the noisy modulation spectrum for additive noise distortion by applying the spectral subtraction algorithm in the modulation domain. Using subjective listening tests and objective speech quality evaluation we show that the proposed method results in improved speech quality. Furthermore, applying spectral subtraction in the modulation domain does not introduce the musical noise artifacts that are typically present after acoustic domain spectral subtraction. The proposed method also achieves better background noise reduction than the MMSE method. Index Terms: speech enhancement, spectral subtraction, modulation domain, analysis-modification-synthesis (AMS)
Peer Reviewed Yes
Published Yes
Publisher URI
Copyright Statement Copyright 2009 ISCA and the Authors. The attached file is reproduced here in accordance with the copyright policy of the publisher. For information about this conference please refer to the conference’s website or contact the authors.
ISBN 1990-9772
Conference name Annual Conference of the International Speech Communication Association
Location Brighton, United Kingdom
Date From 2009-09-06
Date To 2009-09-10
Date Accessioned 2010-03-10
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Signal Processing
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

Show simple item record

Griffith University copyright notice