Unsupervised analysis of polyphonic music by sparse coding

@article{Abdallah2006UnsupervisedAO,
  title={Unsupervised analysis of polyphonic music by sparse coding},
  author={Samer A. Abdallah and Mark D. Plumbley},
  journal={IEEE Transactions on Neural Networks},
  year={2006},
  volume={17},
  pages={179-196}
}
We investigate a data-driven approach to the analysis and transcription of polyphonic music, using a probabilistic model which is able to find sparse linear decompositions of a sequence of short-term Fourier spectra. The resulting system represents each input spectrum as a weighted sum of a small number of "atomic" spectra chosen from a larger dictionary; this dictionary is, in turn, learned from the data in such a way as to represent the given training set in an (information theoretically… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 62 references

Toward Music Perception by Redundancy Reduction and Unsupervised Learning in Probabilistic Models

S. A. Abdallah
Ph.D. dissertation, Dept. Electron. Eng., King’s College London, London, U.K., 2002. • 2002
View 10 Excerpts
Highly Influenced

Learning Overcomplete Representations

Neural Computation • 2000
View 8 Excerpts
Highly Influenced

Atomic Decomposition by Basis Pursuit

SIAM J. Scientific Computing • 1998
View 5 Excerpts
Highly Influenced

Music Transcription with ISA and HMM

View 5 Excerpts
Highly Influenced

Efficient coding of natural sounds

Nature Neuroscience • 2002
View 5 Excerpts
Highly Influenced

Polyphonic pitch extraction from musical signals

P. Lepain
J. New Music Res., vol. 28, no. 4, pp. 296–309, 1999. • 1999
View 4 Excerpts
Highly Influenced

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