scholarly journals A Computational Auditory Scene Analysis-Enhanced Beamforming Approach for Sound Source Separation

2009 ◽  
Vol 2009 (1) ◽  
Author(s):  
L. A. Drake ◽  
J. C. Rutledge ◽  
J. Zhang ◽  
A. Katsaggelos
Keyword(s):  
Sound Source ◽  
Source Separation ◽  
Auditory Scene Analysis ◽  
Scene Analysis ◽  
Computational Auditory Scene Analysis ◽  
Sound Source Separation ◽  
Auditory Scene

Cocktail Party Problem

2010 ◽  
pp. 61-79 ◽  
Author(s):  
Tariqullah Jan ◽  
Wenwu Wang
Keyword(s):  
Sparse Coding ◽  
Source Separation ◽  
Auditory Scene Analysis ◽  
Future Research ◽  
Cocktail Party ◽  
Analysis Model ◽  
Computational Auditory Scene Analysis ◽  
Cocktail Party Problem ◽  
Auditory Scene ◽  
Future Research Directions

Cocktail party problem is a classical scientific problem that has been studied for decades. Humans have remarkable skills in segregating target speech from a complex auditory mixture obtained in a cocktail party environment. Computational modeling for such a mechanism is however extremely challenging. This chapter presents an overview of several recent techniques for the source separation issues associated with this problem, including independent component analysis/blind source separation, computational auditory scene analysis, model-based approaches, non-negative matrix factorization and sparse coding. As an example, a multistage approach for source separation is included. The application areas of cocktail party processing are explored. Potential future research directions are also discussed.

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