Score informed audio source separation using a parametric model of non-negative spectrogram

Abstract : In this paper we present a new technique for monaural source separation in musical mixtures, which uses the knowledge of the musical score. This information is used to initialize an algorithm which computes a parametric decomposition of the spectrogram based on non-negative matrix factorization (NMF). This algorithm provides time-frequency masks which are used to separate the sources with Wiener filtering.
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https://hal.inria.fr/hal-00945294
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Romain Hennequin, Bertrand David, Roland Badeau. Score informed audio source separation using a parametric model of non-negative spectrogram. Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2011, Prague, Czech Republic. ⟨hal-00945294⟩

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