Conference paper · Book chapter
BLUES from Music: BLind Underdetermined Extraction of Sources from Music
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.
Language: | English |
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Publisher: | Springer Berlin / Heidelberg |
Year: | 2006 |
Pages: | 392-399 |
Proceedings: | 6th International Conference on Independent Component Analysis and Blind Signal Separation |
Series: | Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
ISBN: | 3540326308 , 3540326316 , 9783540326304 and 9783540326311 |
ISSN: | 03029743 and 16113349 |
Types: | Conference paper and Book chapter |
DOI: | 10.1007/11679363_49 |
ORCIDs: | Larsen, Jan |