A New Diagonal Hessian Algorithm for Blind Signal Separation

TitleA New Diagonal Hessian Algorithm for Blind Signal Separation
Publication TypeConference Paper
Year of Publication2006
AuthorsElsabrouty, M., T. Aboulnasr, and M. Bouchard
Conference NameAcoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
PaginationV -V
Date Publishedmay.
Keywordsblind signal separation, blind source separation, diagonal Hessian algorithm, Hessian matrices, maximum likelihood estimation, maximum-likelihood blind separation cost function, Riemannian geometry, second order optimization, speech processing, speech signals
Abstract

A new algorithm for blind signal separation of speech signals that does not require pre-whitening is proposed in this paper. The algorithm is based on second order optimization using Riemannian geometry. The algorithm employs several practical approximations to the Hessian matrix of the maximum-likelihood blind separation cost function, to produce a computationally efficient algorithm that is capable of working on-line. Simulation results show the improved performance of the proposed algorithm with different mixing data

URLhttp://dx.doi.org/10.1109/ICASSP.2006.1661363
DOI10.1109/ICASSP.2006.1661363

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