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Noise Statistics Update Adaptive Beamfomer With PSD Estimation for Speech Extraction in Noisy Environment

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Open access
Authors
Dam, Hai Huyen Heidi
Dam, Hai Quang
Nordholm, Sven
Date
2008
Type
Journal Article

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Dam, H.H.H. and Dam, H. and Nordholm, S. 2008. Noise Statistics Update Adaptive Beamfomer With PSD Estimation for Speech Extraction in Noisy Environment. IEEE Transactions on Audio, Speech, and Language Processing. 16 (8): pp. 1633-1641.
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IEEE Transactions on Audio, Speech, and Language Processing
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Western Australian Telecommunications Research Institute (Research Institute)
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Copyright © 2008 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

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Abstract

This paper addresses the problem of extracting a desired speech source from a multispeaker environment in the presence of background noise. A new adaptive beamforming structure is proposed for this speech enhancement problem. This structure incorporates power spectral density (PSD) estimation of the speech sources together with a noise statistics update. An inactive-source detector based on minimum statistics is developed to detect the speech presence and to track the noise statistics. Performance of the proposed beamformer is investigated and compared to the minimum variance distortionless response (MVDR) beamformer with or without a postfilter in a real hands-free communication environment. Evaluations show that the proposed beamformer offers good interference and noise suppression levels while maintaining low distortion of the desired source.