SYMMETRICAL ADAPTIVE MAXIMUM-LIKELIHOOD-ESTIMATION FOR NOISE CANCELLATION AND SIGNAL SEPARATION

Authors
GIROLAMI M
Citation
M. Girolami, SYMMETRICAL ADAPTIVE MAXIMUM-LIKELIHOOD-ESTIMATION FOR NOISE CANCELLATION AND SIGNAL SEPARATION, Electronics Letters, 33(17), 1997, pp. 1437-1438
Citations number
7
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
Electronics Letters → ACNP
ISSN journal
00135194
Volume
33
Issue
17
Year of publication
1997
Pages
1437 - 1438
Database
ISI
SICI code
0013-5194(1997)33:17<1437:SAMFNC>2.0.ZU;2-3
Abstract
The symmetric adaptive maximum likelihood estimation (SAMLE) algorithm is proposed. It is shown to be generalisation of the symmetric adapti ve decorrelation (SAD) algorithm for noise cancellation and signal sep aration. Both the SAD and SAMLE algorithms are applied to the separati on of a mixture of natural speech recorded in a realistic acoustic env ironment. A comparative simulation confirms that the SAMLE algorithm p rovides superior separation capabilities.