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Single channel blind source separation using the best characteristic basis

Lookup NU author(s): Bin Gao, Dr Wai Lok Woo, Emeritus Professor Satnam Dlay

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Abstract

This paper proposes a novel technique for separating single channel recording of speech mixture using a hybrid of maximum likelihood and maximum a posteriori estimators. In addition, the new algorithm proposes a new approach that accounts for the time structure of the source signals by encoding them into a set of basis filters that are characteristically the most significant. Real time testing of the new algorithm has been conducted and the obtained results are very encouraging.

Publication metadata

Author(s): Gao B, Woo WL, Dlay SS

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 3rd International Conference on Information and Communication Technologies: From Theory to Applications (ICTTA 2008)

Year of Conference: 2008

Publisher: IEEE

URL: http://dx.doi.org/10.1109/ICTTA.2008.4530049

DOI: 10.1109/ICTTA.2008.4530049

Library holdings: Search Newcastle University Library for this item

ISBN: 1424417511

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