Symmetric adaptive maximum likelihood estimationfor noise cancellation and signal separation
- 14 August 1997
- journal article
- Published by Institution of Engineering and Technology (IET) in Electronics Letters
- Vol. 33 (17) , 1437-1438
- https://doi.org/10.1049/el:19970977
Abstract
The symmetric adaptive maximum likelihood estimation (SAMLE) algorithm is proposed. It is shown to be a generalisation of the symmetric adaptive decorrelation (SAD) algorithm for noise cancellation and signal separation. Both the SAD and SAMLE algorithms are applied to the separation of a mixture of natural speech recorded in a realistic acoustic environment. A comparative simulation confirms that the SAMLE algorithm provides superior separation capabilities.Keywords
This publication has 1 reference indexed in Scilit:
- Signal separation by symmetric adaptive decorrelation: stability, convergence, and uniquenessIEEE Transactions on Signal Processing, 1995