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 instruments which are spatially different from other instruments.
This work is supported by the Danish Technical Research Council (STVF), through the framework project “Intelligent Sound”, STVF no. 26-04-0092, the PASCAL network, contract no. 506778. and the Oticon Foundation.
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Pedersen, M.S., Lehn-Schiøler, T., Larsen, J. (2006). BLUES from Music: BLind Underdetermined Extraction of Sources from Music. In: Rosca, J., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2006. Lecture Notes in Computer Science, vol 3889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11679363_49
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DOI: https://doi.org/10.1007/11679363_49
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