Subject: Re: Computational ASA From: Pierre Divenyi <pdivenyi(at)EBIRE.ORG> Date: Fri, 30 Apr 2004 07:49:51 -0700The problem is, indeed, complex. You can learn a bit more about its various facets if you browse the web site http://www.ebire.org/speechseparation Best, Pierre Divenyi At 09:58 AM 4/30/2004 -0400, Jon Boley wrote: >Hi all, >I am a grad student in the University of Miami's Music Engineering >program, and I am just starting to learn about auditory scene analysis, >particularly computational ASA models. > >I know there are several CASA experts on this list, so I'd like to ask why >source separation seems to be so difficult. It's seems like the general >consensus is that source separation is far too difficult, and research has >focused on understanding features within a mix. Yet, from what I've read, >current methods of feature extraction work quite well. It only seems >natural that we could write an algorithm that groups these features >according to their perceived source and creates separate audio streams >based on this information. While this would be much more difficult in >noisy or reverberant environments, I would imagine it would be quite >simple in a less complex environment. >What is it that makes source separation so difficult? > >Thanks, >Jon Boley