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Convention Paper

Computationally Efficient Blind Dereverberation of Audio Signals

Authors: Huang, Hesu; Kyriakakis, Chris

AES Convention 117 · Paper 6214 · October 2004

Abstract

Convolutive noise in terms of reverberation can significantly degrade the quality and intelligibility of the real-world audio recordings. To reduce this type of acoustic noise, we propose a single-microphone dereverberation method based on Constant Modulus Algorithm (CMA) - a blind deconvolution technique. In particular, a new Non-causal Delayless Subband Filtering architecture is designed and combined with CMA to reduce the computational complexity of the overall system. Experimental results show that our method presents a comparable performance to fullband CMA, but with less computational cost in dereverberating audio signals.

Details

Published in
AES Convention 117
AES Convention
117
Paper number
6214
Publication date
October 6, 2004
Session subject
Audio Archiving, Storage, and Restoration: Content Management
Affiliation
Immersive Audio Laboratory, Integrated Media Systems Center, University of Southern California, Los Angeles, CA (See document for exact affiliation information.)
Type
Convention Paper