On spectral basis selection for single channel polyphonic music separation

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Abstract

In this paper we present a method of separating musical instrument sound sources from their monaural mixture, where we take the harmonic structure of music into account and use the sparseness and the overlapping NMF to select representative spectral basis vectors which are used to reconstruct unmixed sound. A method of spectral basis selection is illustrated and experimental results with monaural instantaneous mixtures of voice/cello and saxophone/viola, are shown to confirm the validity of our proposed method. © Springer-Verlag Berlin Heidelberg 2005.

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Kim, M., & Choi, S. (2005). On spectral basis selection for single channel polyphonic music separation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3697 LNCS, pp. 157–162). https://doi.org/10.1007/11550907_26

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