A nonlinear model of the binaural cocktail party effect.
The ability of a binaural listener to concentrate on speech from a particular location whilst preferentially suppressing speech from other locations has been termed the binaural "cocktail party" effect. The recently developed unsupervised artificial neural network models for blind signal processing have provided additional perspectives on the binaural cocktail party effect. This paper presents a model of the cocktail party effect based on a temporal anti-Hebbian adaptive maximum likelihood estimator. The complicating effects of reverberation and physically non-stationary speech sources on unwanted speech suppression are empirically investigated. (C) 1998 Elsevier Science B.V. All rights reserved.
|Title:||A nonlinear model of the binaural cocktail party effect|
|Keywords:||binaural cocktail party effect, blind signal processing, noise reduction|
|UCL classification:||UCL > School of BEAMS > Faculty of Maths and Physical Sciences
UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Statistical Science
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