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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.
Author (s): Huang, Hesu; Kyriakakis, Chris
Affiliation:
Immersive Audio Laboratory, Integrated Media Systems Center, University of Southern California, Los Angeles, CA
(See document for exact affiliation information.)
AES Convention: 117
Paper Number:6214
Publication Date:
2004-10-06
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Session subject:
Audio Archiving, Storage, and Restoration: Content Management
Permalink: https://aes2.org/publications/elibrary-page/?id=12871
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Huang, Hesu; Kyriakakis, Chris; 2004; Computationally Efficient Blind Dereverberation of Audio Signals [PDF]; Immersive Audio Laboratory, Integrated Media Systems Center, University of Southern California, Los Angeles, CA; Paper 6214; Available from: https://aes2.org/publications/elibrary-page/?id=12871
Huang, Hesu; Kyriakakis, Chris; Computationally Efficient Blind Dereverberation of Audio Signals [PDF]; Immersive Audio Laboratory, Integrated Media Systems Center, University of Southern California, Los Angeles, CA; Paper 6214; 2004 Available: https://aes2.org/publications/elibrary-page/?id=12871