A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments

@article{Ewert2015ADP,
  title={A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments},
  author={Sebastian Ewert and Mark D. Plumbley and Mark B. Sandler},
  journal={2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2015},
  pages={569-573}
}
Given a musical audio recording, the goal of music transcription is to determine a score-like representation of the piece underlying the recording. Most current transcription methods employ variants of non-negative matrix factorization (NMF), which often fails to robustly model instruments producing non-stationary sounds. Using entire time-frequency patterns to represent sounds, non-negative matrix deconvolution (NMD) can capture certain types of non-stationary behavior but is only applicable… CONTINUE READING

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