Single-channel speech enhancement using Kalman filtering in the modulation domain

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Title Single-channel speech enhancement using Kalman filtering in the modulation domain
Author So, Stephen; Wojcicki, Kamil; Paliwal, Kuldip Kumar
Publication Title Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010)
Editor Satoshi Nakamura
Year Published 2010
Publisher International Speech Communication Association (ISCA)
Abstract In this paper, we propose the modulation-domain Kalman filter (MDKF) for speech enhancement. In contrast to previous modulation domain enhancement methods based on bandpass filtering, the MDKF is an adaptive and linear MMSE estimator that uses models of the temporal changes of the magnitude spectrum for both speech and noise. Also, because the Kalman filter is a joint magnitude and phase spectrum estimator, under non-stationarity assumptions, it is highly suited for modulation-domain processing, as modulation phase tends to contain more speech information than acoustic phase. Experimental results from the NOIZEUS corpus show the ideal MDKF (with clean speech parameters) to outperform all the acoustic and time-domain enhancement methods that were evaluated, including the conventional time-domain Kalman filter with clean speech parameters. A practical MDKF that uses the MMSE-STSA method to enhance noisy speech in the acoustic domain prior to LPC analysis was also evaluated and showed promising results.
Peer Reviewed Yes
Published Yes
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Copyright Statement Copyright 2010 ISCA and the Authors. This is the author-manuscript version of this paper. Reproduced 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 Interspeech 2010
Location Makuhari, Japan
Date From 2010-09-26
Date To 2010-09-30
Date Accessioned 2010-10-19
Language en_AU
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

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