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(Neural Computation. 2005;17:1875-1902.)
© 2005 The MIT Press


Review

The Cocktail Party Problem

Simon Haykin

haykin{at}mcmaster.ca, Adaptive Systems Lab, McMaster University, Hamilton, Ontario, Canada L8S 4K1

Zhe Chen

zhechen{at}soma.crl.mcmaster.ca, Adaptive Systems Lab, McMaster University, Hamilton, Ontario, Canada L8S 4K1

This review presents an overview of a challenging problem in auditory perception, the cocktail party phenomenon, the delineation of which goes back to a classic paper by Cherry in 1953. In this review, we address the following issues: (1) human auditory scene analysis, which is a general process carried out by the auditory system of a human listener; (2) insight into auditory perception, which is derived from Marr's vision theory; (3) computational auditory scene analysis, which focuses on specific approaches aimed at solving the machine cocktail party problem; (4) active audition, the proposal for which is motivated by analogy with active vision, and (5) discussion of brain theory and independent component analysis, on the one hand, and correlative neural firing, on the other.

One of our most important faculties is our ability to listen to, and follow, one speaker in the presence of others. This is such a common experience that we may take it for granted; we may call it "the cocktail party problem." No machine has been constructed to do just this, to filter out one conversation from a number jumbled together.—Colin Cherry, 1957.




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