A novel fuzzy clustering algorithm using observation weighting and context information for reverberant blind speech separation

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A novel fuzzy clustering algorithm using observation weighting and context information for reverberant blind speech separation

Time-frequency masking has evolved as a powerful tool for tackling blind source separation problems. In previous work, mask estimation was performed with the help of well-known standard cluster algorithms. Spatial observation vectors, extracted from a set of microphones, were grouped into separate c...

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Bibliographic Details
Main Authors:	Kuhne, M., Togneri, R., Nordholm, Sven
Format:	Journal Article
Published:	Elsevier Science 2009
Subjects:	Blind source separation Time-frequency masking Fuzzy clustering Reverberation Robustness Adaptive beamforming
Online Access:	http://hdl.handle.net/20.500.11937/44787

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