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| A Time-Domain Blind Convolutive Separation Algorithm for Speech Signals Based on Second-Order Statistic |
| Zhang Hua①; Feng Da-zheng①; Pang Ji-yong② |
| ①National Lab. of Radar Signal Process., Xidian Univ., Xi’an 710071, China; ②Research & Innovation Center, Alcatel-Lucent Shanghai Bell, Shanghai 201206, China |
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Abstract For blind convolutive separation of speech signals, a cost function improved from the least squares fitting function is developed based on second-order statistic, which simplifies the quartic-function with respect to the mixture matrix into three quadratic functions. The iternative approach with three sub-steps is proposed to perform the non-unitary joint block-diagonalization. In each sub-step, a closed solution is derived by minimizing the cost function associated with one parameter-group while fixing the others. Furthermore, the feature of low computational complexity is analytically proven. Compared with ZJBD, the simulations illustrate that the proposed algorithm has the merits of robust initialization selection and better estimate accuracy.
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Received: 19 April 2009
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Corresponding Authors:
Zhang Hua
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2010, Vol. 32 
