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Single channel audio source separation

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

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Abstract

Blind source separation is an advanced statistical tool that has found widespread use in many signal processing applications. However, the crux topic based on one channel audio source separation has not fully developed to enable its way to laboratory implementation. The main idea approach to single channel blind source separation is based on exploiting the inherent time structure of sources known as basis filters in time domain that encode the sources in a statistically efficient manner. This paper proposes a technique for separating single channel recording of audio mixture using a hybrid of maximum likelihood and maximum a posteriori estimators. In addition, the algorithm proposes a new approach that accouuts for the time structure of the speech signals by encoding them into a set of basis filters that are characteristically the most significant.


Publication metadata

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

Publication type: Article

Publication status: Published

Journal: WSEAS Transactions on Signal Processing

Year: 2008

Volume: 4

Issue: 4

Pages: 173-182

Print publication date: 01/04/2008

ISSN (print): 1790-5022

ISSN (electronic):

Publisher: World Scientific and Engineering Academy and Society


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