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

Romain Hennequin (1) , Bertrand David (1) , Roland Badeau (1)

1 LTCI - Laboratoire Traitement et Communication de l'Information

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.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

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⟩