Automatic transcription of piano music by sparse representation of magnitude spectra

@article{Lee2011AutomaticTO,
  title={Automatic transcription of piano music by sparse representation of magnitude spectra},
  author={Cheng-Te Lee and Yi-Hsuan Yang and Homer H. Chen},
  journal={2011 IEEE International Conference on Multimedia and Expo},
  year={2011},
  pages={1-6}
}
Assuming that the waveforms of piano notes are pre-stored and that the magnitude spectrum of a piano signal segment can be represented as a linear combination of the magnitude spectra of the pre-stored piano waveforms, we formulate the automatic transcription of polyphonic piano music as a sparse representation problem. First, the note candidates of the piano signal segment are found by using heuristic rules. Then, the sparse representation problem is solved by l1-regularized minimization… CONTINUE READING

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