Computational Auditory Scene Analysis (CASA) is the name for a field of research that seeks to build computer models of the process of auditory organization, by which biological listeners are able to understand dense sound mixtures as the superimposed result of many independent sound-producing entities in the environment.
CASA is in its early days, with quite a number of different efforts, but no obvious winning strategies, and a large range of perspectives on the problem. I thought it would be interesting and perhaps valuable to gather together a `museum' of sound examples (and other information) relating to these projects. (Actually, it was suggested to me by Malcolm Slaney).
I am very grateful to the following researchers for supplying me with the sound examples on these pages, and for their permission to have their work used in this way: