Interspeech'2005 - Eurospeech

Lisbon, Portugal
September 4-8, 2005

Using Inter-Frequency Decorrelation to Reduce the Permutation Inconsistency Problem in Blind Source Separation

Enrique Robledo-Arnuncio, Biing-Hwang Juang

Georgia Institute of Technology, Atlanta, GA, USA

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.

Full Paper

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.