## Interspeech'2005 - Eurospeech## Lisbon, Portugal |

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 intra-frequency 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.

__Bibliographic reference.__
Robledo-Arnuncio, Enrique / Juang, Biing-Hwang (2005):
"Using inter-frequency decorrelation to reduce the permutation inconsistency problem in blind source separation",
In *INTERSPEECH-2005*, 2357-2360.