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KMID : 1022420130050040211
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Phonetics and Speech Sciences
2013 Volume.5 No. 4 p.211 ~ p.216
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Post-Processing of IVA-Based 2-Channel Blind Source Separation for Solving the Frequency Bin Permutation Problem
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Chu Zhi Hao
Bae Keun-Sung
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Abstract
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The IVA(Independent Vector Analysis) is a well-known FD-ICA method used to solve the frequency permutation problem. It generally works quite well for blind source separation problems, but still needs some improvements in the frequency bin permutation problem. This paper proposes a post-processing method which can improve the source separation performance with the IVA by fixing the remaining frequency permutation problem. The proposed method makes use of the correlation coefficient of power ratio between frequency bins for separated signals with the IVA-based 2-channel source separation. Experimental results verified that the proposed method could fix the remaining frequency permutation problem in the IVA and improve the speech quality of the separated signals.
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KEYWORD
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blind source separation, independent vector analysis, frequency permutation
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