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Conference paper · Book chapter

BLUES from Music: BLind Underdetermined Extraction of Sources from Music

From

Department of Informatics and Mathematical Modeling, Technical University of Denmark1

Cognitive Systems, Department of Informatics and Mathematical Modeling, Technical University of Denmark2

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
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

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