@CONFERENCE\{IMM2006-04060,
    author       = "M. S. Pedersen and T. Lehn-Schi{\o}ler and J. Larsen",
    title        = "{BLUES} from Music: BLind Underdetermined Extraction of Sources from Music",
    year         = "2006",
    keywords     = "{ICA,} time frequency masking, music",
    pages        = "392-399",
    booktitle    = "ICA2006",
    volume       = "3889",
    series       = "Lecture Notes in Computer Science",
    editor       = "Justinian Rosca, Deniz Erdogmus, Jos\'{e} C. Príncipe, Simon Haykin",
    publisher    = "Springer Berlin / Heidelberg",
    organization = "",
    address      = "",
    url          = "http://www.springerlink.com/(m33ypy45gn3y4p45voyskg55)/app/home/contribution.asp?referrer=parent&backto=issue,49,120;journal,10,3313;linkingpublicationresults,1:105633,1",
    abstract     = "In this paper we propose to use an instantaneous {ICA} method (BLUES) to separate the instruments in a real music stereo
recording. We combine two strong separation techniques to segregate instruments from a mixture: {ICA} and binary
time-frequency masking. By combining the methods, we are able to make use of the fact that the sources are
differently distributed in both space, time and frequency. Our method is able to segregate an arbitrary number of
instruments and the segregated sources are maintained as stereo signals. We have evaluated our method on real stereo
recordings, and we can segregate those instruments which are spatially different from other instruments.",
    isbn_issn    = "{ISBN} {3-}540-32630-8"
}