Blind source separation for convolutive mixtures
Signal Processing
Separation of real-world signals
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Speech Communication - Special issue on speech processing for hearing aids
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Blind separation of convolutive mixtures by decorrelation
Signal Processing
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ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Batch and adaptive PARAFAC-based blind separation of convolutive speech mixtures
IEEE Transactions on Audio, Speech, and Language Processing
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We have shown previously that non-stationary signals recorded in a static multi-path environment can often be recovered by simultaneously decorrelating varying second order statistics. As typical sources are often moving, however, the multi-path channel is not static. We present here an on-line gradient algorithm with adaptive step size in the frequency domain based on second derivatives, which we refer to as multiple adaptive decorrelation (MAD). We compared the separation performance of the proposed algorithm to its off-line counterpart and to another decorrelation based on-line algorithm.