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Noise reduction using simultaneous masking property and SNR variation for various noise corruptions

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Accession number:20083811561574

Title: Noise reduction using simultaneous masking property and SNR variation for various noise corruptions

Authors:Lu, Ching-Ta (1); Tseng, Kun-Fu (2)

Author affiliation:(1) Department of Information Communication, Asia University, Wufeng 413, Taiwan; (2) Department of Electronic Engineering, Chin Min Institute of Technology, Miaoli 351, Taiwan Corresponding author:Lu, C.-T.

Source title:ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Abbreviated source title:ICASSP IEEE Int Conf Acoust Speech Signal Process Proc

Monograph title:2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP

Issue date:2008

Publication year:2008 Pages:1601-1604

Article number:4517931 Language:English

ISSN:15206149 CODEN:IPRODJ

ISBN-10:1424414849 ISBN-13:9781424414840

Document type:Conference article (CA)

Conference name:2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP

Conference date:March 31, 2008 - April 4, 2008 Conference location:Las Vegas, NV, United states Conference code:73384

Publisher:Institute of Electrical and Electronics Engineers Inc., 445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States

Abstract:A speech enhancement algorithm adapted by both intra- frame masking properties of the human auditory system and inter- frame SNR variation is proposed to enhance a speech signal

corrupted by colored noise. Herein, we employ a gain factor adapted by the SNR variation to reduce the spectral variation over

successive frames, so the effect of musical residual noise can be

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mitigated. In addition, the masking property of the human ears is also employed to adapt the gain factor, enabling the imperceptive residual noise with energy below the noise masking threshold to be retained. The speech distortion is therefore reduced by preserving more noisy speech signals. Experimental results show that the proposed scheme can efficiently reduce the effect of musical residual noise by rendering residual noise perceptually white.

©2008 IEEE.

Number of references:8 Main heading:Speech

Controlled terms: Acoustic intensity - Acoustics - Computer networks - Signal processing - Signal to noise ratio - Speech enhancement - Speech processing

Uncontrolled terms: Auditory masking - Colored noise - Perceptual - Residual noises - SNR variation

Classification code:751.2 Acoustic Properties of Materials - 751 Acoustics, Noise. Sound - 723.5 Computer Applications - 723

Computer Software, Data Handling and Applications - 751.5 Speech - 722 Computer Systems and Equipment - 717 Optical

Communication - 716.1 Information Theory and Signal Processing - 716 Telecommunication; Radar, Radio and Television - 718

Telephone Systems and Related Technologies; Line Communications DOI:10.1109/ICASSP.2008.4517931

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

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