BLUES from Music: BLind Underdetermined Extraction of Sources from Music |
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| 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. |
| Keywords | ICA, time frequency masking, music |
| Type | Conference paper [With referee] |
| Conference | ICA2006 |
| Editors | |
| Year | 2006 Vol. 3889 pp. 392-399 |
| Publisher | Springer Berlin / Heidelberg |
| Series | Lecture Notes in Computer Science |
| ISBN / ISSN | ISBN 3-540-32630-8 |
| Electronic version(s) | [pdf] |
| Publication link | http://www.springerlink.com/(m33ypy45gn3y4p45voyskg55)/app/home/contribution.asp?referrer=parent&backto=issue,49,120;journal,10,3313;linkingpublicationresults,1:105633,1 |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |