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Structure selection algorithm for less musical-noise generation in integration systems of beamforming and spectral subtraction

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dc.contributor.author Yu Takahashi en
dc.contributor.author Yoshihisa Uemura en
dc.contributor.author Hiroshi Saruwatari en
dc.contributor.author Kiyohiro Shikano en
dc.contributor.author Kazunobu Kondo en
dc.date.accessioned 2012-08-22T07:59:01Z en
dc.date.available 2012-08-22T07:59:01Z en
dc.date.issued 2009-08 en
dc.identifier.isbn 9781424427093 en
dc.identifier.uri http://hdl.handle.net/10061/8265 en
dc.description SSP2009: IEEE/SP 15th Workshop on Statistical Signal Processing, August 31 - September 3, 2009, Cardiff, UK. en
dc.description.abstract In this paper, we propose an appropriate structure selection algorithm for less musical-noise generation in integration methods of microphone array and spectral subtraction. In our previous work, we have analyzed musical-noise reduction structure in integration methods of microphone array and spectral subtraction based on higher order statistics. However, that analysis can be applied to only Gaussian and super-Gaussian noises. In this paper, we extend the analysis into sub-Gaussian noise case. As a result of the extended analysis, we find the fact that an appropriate structure is depending on the type of input noise. Based on this fact, we propose an appropriate structure selection algorithm in integration methods of microphone array and spectral subtraction for less musical-noise generation. The effectiveness of the proposed algorithm are shown via a computer simulation. en
dc.language.iso en en
dc.publisher IEEE en
dc.rights Copyright 2009 IEEE en
dc.subject Musical noise en
dc.subject higher-order statistics en
dc.subject spectral subtraction en
dc.subject acoustic arrays en
dc.subject speech enhancement en
dc.title Structure selection algorithm for less musical-noise generation in integration systems of beamforming and spectral subtraction en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.spage 701 en
dc.identifier.epage 704 en
dc.relation.doi 10.1109/SSP.2009.5278480 en


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