Harmonic variable-size dictionary learning for music source separation

  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},
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

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