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New architecture combining blind signal extraction and modified spectral subtraction for suppression of background noise

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dc.contributor.author Even Jani en
dc.contributor.author Hiroshi Saruwatari en
dc.contributor.author Kiyohiro Shikano en
dc.date.accessioned 2012-08-22T07:58:58Z en
dc.date.available 2012-08-22T07:58:58Z en
dc.date.issued 2008-09 en
dc.identifier.uri http://hdl.handle.net/10061/8213 en
dc.description IWAENC2008: the 11th International Workshop on Acoustic Echo and Noise Control, September 14-17, 2008, Seattle, Washington USA. en
dc.description.abstract In this paper, we propose a new architecture for enhancing the speech in a hands-free human/machine communication scenario. The proposed architecture uses frequency domain blind source extraction (FD-BSE) for noise estimation and beamforming in the speech direction. Soft masks function of the SNR are computed from the FD-BSE outputs and use to enhance the performance of the spectral subtraction applied channel wise to suppress the noise. Simulation results show that the proposed architecture can achieve a comparable SNR as conventional spectral subtraction with less distortion of the speech. en
dc.language.iso en en
dc.subject Blind signal separation en
dc.subject diffuse noise suppression en
dc.subject spectral subtraction en
dc.title New architecture combining blind signal extraction and modified spectral subtraction for suppression of background noise en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.artnum 9076 en


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