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dc.contributor.authorJafari, I.
dc.contributor.authorTogneri, R.
dc.contributor.authorNordholm, Sven
dc.contributor.editorAkihiko Sugiyama
dc.contributor.editorHitoshi Kiya
dc.date.accessioned2017-01-30T12:08:33Z
dc.date.available2017-01-30T12:08:33Z
dc.date.created2015-03-03T20:17:23Z
dc.date.issued2012
dc.identifier.citationJafari, I. and Togneri, R. and Nordholm, S. 2012. A robust approach to reverberant blind source separation in the presence of noise for arbitrarily arranged sensors, in Proceedings of the 2012 IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 25-30 2012, pp. 2413-2416. Kyoto, Japan: The Institute of Electrical and Electronics Engineers.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/18549
dc.identifier.doi10.1109/ICASSP.2012.6288402
dc.description.abstract

Considerable attention has been devoted to the reverberant blind source separation problem: in particular, the concept of time-frequency masking. However, realistic acoustic scenarios often comprise not only reverberation, but also additive noise due to factors such as non-ideal channels. This paper presents robust evaluations of a time-frequency masking approach for separation in such realistic conditions. The fuzzy c-means clustering algorithm is used to cluster spatial feature cues into a time-frequency mask. Experimental results demonstrated superiority in separation, with notable improvements in the SNR additionally observed. Not only does this establish the proposed scheme viable for reverberant blind source separation, but also as a credible means of speech enhancement in the presence of additive broadband noise.

dc.publisherThe Institute of Electrical and Electronics Engineers
dc.titleA robust approach to reverberant blind source separation in the presence of noise for arbitrarily arranged sensors
dc.typeConference Paper
dcterms.source.startPage2413
dcterms.source.endPage2416
dcterms.source.titleProceedings of the 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing
dcterms.source.seriesProceedings of the 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing
dcterms.source.isbn9781467300469
dcterms.source.conference2012 IEEE International Conference on Acoustics, Speech, and Signal Processing
dcterms.source.conference-start-dateMar 25 2013
dcterms.source.conferencelocationKyoto, Japan
dcterms.source.placeKyoto, Japan
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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