Text-Informed Audio Source Separation. Example-Based Approach Using Non-Negative Matrix Partial Co-Factorization

Author:

Le Magoarou Luc,Ozerov Alexey,Duong Ngoc Q. K.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modelling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Reference29 articles.

1. Le Magoarou, L., A. Ozerov, N.Q.K. Duong. (2013). Textinformed audio source separation using nonnegative matrix partial co-factorization. In Text-informed audio source separation using nonnegative matrix partial co-factorization. Machine Learning for Signal Processing (MLSP), 2013 IEEE International Workshop on, pages 1–6.

2. E. Vincent, S. Araki, F. Theis, G. Nolte, P. Bofill, H. Sawada, A. Ozerov, V. Gowreesunker, D. Lutter, N. Q. K. Duong (2012). The signal separation evaluation campaign (2007-2010): Achievements and remaining challenges. Signal Processing, 92 (8), 1928–1936.

3. Ganseman, J., Mysore, G.J., Abel, J.S., Scheunders, P. (2010). Source separation by score synthesis. In Proceedings of the international computer music conference (ICMC) (pp. 462–465). New York: NY.

4. Hennequin, R., David, B., Badeau, R. (2011). Score informed audio source separation using a parametric model of non-negative spectrogram. In Proceedings of the IEEE International Conference on Acoustics, speech, and signal processing (ICASSP) (pp. 45–48). Czech Republic: Prague.

5. Simsekli, U., & Cemgil, A.T. (2012). Score guided musical source separation using generalized coupled tensor factorization. In Proceedings of the 20th European signal processing conference (EUSIPCO) (pp. 2639–2643).

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