Musical source separation using time-frequency source priors

  title={Musical source separation using time-frequency source priors},
  author={Emmanuel Vincent},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
This article deals with the source separation problem for stereo musical mixtures using prior information about the sources (instrument names and localization). After a brief review of existing methods, we design a family of probabilistic mixture generative models combining modified positive independent subspace analysis (ISA), localization models, and segmental models (SM). We express source separation as a Bayesian estimation problem and we propose efficient resolution algorithms. The… CONTINUE READING
Highly Cited
This paper has 144 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.


Publications citing this paper.

145 Citations

Citations per Year
Semantic Scholar estimates that this publication has 145 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 30 references

Frequency domain techniques for stereo to multichannel upmix

  • C. Avendano, J.-M. Jot
  • Proc. AES 22nd Conference on Vitual, Synthetic…
  • 2002
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…