Harmonic variable-size dictionary learning for music source separation

@article{Tjoa2010HarmonicVD,
  title={Harmonic variable-size dictionary learning for music source separation},
  author={Steven K. Tjoa and Matthew C. Stamm and Wan-Yi Sabrina Lin and K. J. Ray Liu},
  journal={2010 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2010},
  pages={413-416}
}
Dictionary learning through matrix factorization has become widely popular for performing music transcription and source separation. These methods learn a concise set of dictionary atoms which represent spectrograms of musical objects. However, there is no guarantee that the atoms learned will be perceptually meaningful, particularly when there exists significant spectral and temporal overlap among the musical sources. In this paper, we propose a novel dictionary learning method that imposes… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…