Title :
Score informed audio source separation using a parametric model of non-negative spectrogram
Author :
Hennequin, Romain ; David, Bertrand ; Badeau, Roland
Author_Institution :
Telecom ParisTech, Inst. Telecom, Paris, France
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.
Keywords :
Wiener filters; audio signal processing; matrix decomposition; music; source separation; time-frequency analysis; Wiener filtering; monaural source separation; musical mixture; musical score; nonnegative matrix factorization; nonnegative spectrogram; parametric decomposition; parametric model; score informed audio source separation; time-frequency mask; Atomic clocks; Databases; Harmonic analysis; Source separation; Spectrogram; Time frequency analysis; Training; audio source separation; machine learning; music information retrieval; non-negative matrix factorization;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946324
