Name
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 |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICASSP.2006.1661363 | Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference |
Keywords | Field | DocType |
Hessian matrices,blind source separation,maximum likelihood estimation,speech processing,Riemannian geometry,blind signal separation,diagonal Hessian algorithm,maximum-likelihood blind separation cost function,second order optimization,speech signals | Diagonal,Convergence (routing),Speech processing,Computer science,Hessian matrix,Artificial intelligence,Blind signal separation,Source separation,Information theory,Mathematical optimization,Pattern recognition,Algorithm,Riemannian geometry | Conference |
Volume | ISSN | ISBN |
5 | 1520-6149 | 1-4244-0469-X |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maha Elsabrouty | 1 | 73 | 19.31 |
| Tyseer Aboulnasr | 2 | 157 | 19.88 |
| Martin Bouchard | 3 | 172 | 29.67 |