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Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS 2009

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Open access
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2009
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Conference Paper

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Abstract

This paper presents a new approach to enhance speech based on a distributed microphone network. Each microphone is used to simultaneously classify the input into either one of the noise types or as speech. For enhancing the speech signal a modified spectral subtraction approach is used that utilise the sound information of the entire network to update the noise model even during speech. This improves the reduction of the ambient noise, especially for non-stationary noise types such as street or beach noise. Experiments demonstrate the effectiveness of the proposed system.

Citation
Kϋhnapfel, Thorsten and Tan, Tele and Venkatesh, Svetha and Igel, B. 2009. Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS 2009, in Tubaro, S. and Dugelay, J. (ed), AVSS 2009, Sep 2 2009, pp. 308-313. Genoa, Italy: IEEE Computer Society.
Source Title
Proceedings of the 2009 6th IEEE International Conference on Advanced Video and Signal Based Surveillance
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School of Science and Computing
Department of Computing
Faculty of Science and Engineering
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