Optical Music Recognition for Interactive Score Display

Dan Ringwalt, Roger Dannenberg, and Andrew Russell

Proceedings of the International Conference on New Interfaces for Musical Expression

• Year: 2015
• Location: Baton Rouge, Louisiana, USA
• Pages: 95–98
• DOI: 10.5281/zenodo.1179162 (Link to paper)
• PDF link

Abstract:

Optical music recognition (OMR) is the task of recognizing images of musical scores. In this paper, improved algorithms for the fi rst steps of optical music recognition were developed, which facilitated bulk annotation of scanned scores for use in an interactive score display system. Creating an initial annotation by OMR and verifying by hand substantially reduced the manual eff ort required to process scanned scores to be used in a live performance setting.

Citation:

BibTeX Entry:

  @inproceedings{rdannenberg2015,
 abstract = {Optical music recognition (OMR) is the task of recognizing images of musical scores. In this paper, improved algorithms for the fi
rst steps of optical music recognition were developed, which facilitated bulk annotation of scanned scores for use in an interactive score display system. Creating an initial annotation by OMR and verifying by hand substantially reduced the manual eff
ort required to process scanned scores to be used in a live performance setting.},
 address = {Baton Rouge, Louisiana, USA},
 author = {Dan Ringwalt and Roger Dannenberg and Andrew Russell},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.5281/zenodo.1179162},
 editor = {Edgar Berdahl and Jesse Allison},
 issn = {2220-4806},
 month = {May},
 pages = {95--98},
 publisher = {Louisiana State University},
 title = {Optical Music Recognition for Interactive Score Display},
 url = {http://www.nime.org/proceedings/2015/nime2015_198.pdf},
 year = {2015}
}