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Additive background noise and convolutive noise in the form of reverberation are two major types of noise in audio conferencing and hands-free telecommunication environments. To reduce this type of acoustic noise, we propose a two-step approach based on subband adaptive filtering techniques. In particular, we first reduce the additive noise using a Delayless Subband Adaptive Noise Cancellation (DSANC) technique, and then suppress the convolutive noise through Subband Adaptive Blind Deconvolution. The experiments show that our method has lower computational complexity and better performance than previously proposed methods.
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: 115
Paper Number:5965
Publication Date:
2003-10-06
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Session subject:
Archiving and Restoration
Permalink: https://aes2.org/publications/elibrary-page/?id=12351
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Huang, Hesu; Kyriakakis, Chris; 2003; Subband Adaptive Filtering for Acoustic Noise Reduction [PDF]; Immersive Audio Laboratory, Integrated Media Systems Center, University of Southern California, Los Angeles, CA; Paper 5965; Available from: https://aes2.org/publications/elibrary-page/?id=12351
Huang, Hesu; Kyriakakis, Chris; Subband Adaptive Filtering for Acoustic Noise Reduction [PDF]; Immersive Audio Laboratory, Integrated Media Systems Center, University of Southern California, Los Angeles, CA; Paper 5965; 2003 Available: https://aes2.org/publications/elibrary-page/?id=12351