Improving Rhythmic Transcriptions via Probability Models Applied Post-OMR

@inproceedings{Church2014ImprovingRT,
  title={Improving Rhythmic Transcriptions via Probability Models Applied Post-OMR},
  author={Maura Church and Michael Scott Cuthbert},
  booktitle={ISMIR},
  year={2014}
}
Despite many improvements in the recognition of graphical elements, even the best implementations of Optical Music Recognition (OMR) introduce inaccuracies in the resultant score. These errors, particularly rhythmic errors, are time consuming to fix. Most musical compositions repeat rhythms between parts and at various places throughout the score. Information about rhythmic selfsimilarity, however, has not previously been used in OMR systems. This paper describes and implements methods for… CONTINUE READING

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