Using inter-frequency decorrelation to reduce the permutation inconsistency problem in blind source separation
نویسندگان
چکیده
One of the most important problems in frequency domain blind source separation is the inconsistency across frequency in the permutation of the source estimates. In this paper we present a new algorithm that simultaneously diagonalizes the intrafrequency and the inter-frequency correlation matrices of the source estimates. Experimental results, using speech signals, reveal that the algorithm achieves a highly improved alignment of the permutations between neighbor frequency bins.
منابع مشابه
A New Method for Solving the Permutation Problem of Frequency-Domain Blind Source Separation
Frequency domain blind source separation has the great advantage that the complicated convolution in time domain becomes multiple efficient multiplications in frequency domain. However, the inherent ambiguity of permutation of ICA becomes an important problem that the separated signals at different frequencies may be permuted in order. Mapping the separated signal at each frequency to a target ...
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