Music OCR

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Main article: Optical character recognition

Music OCR (or OMR, Optical Music Recognition) is the application of optical character recognition to interpret sheet music or printed scores into editable or playable form. Once captured digitally, the music can be saved in commonly used file formats, e.g. MIDI (for playback) and MusicXML (for page layout).

History

Early research into recognition of printed sheet music was performed at the graduate level in the late 1960s at MIT and other institutions.^[1] Successive efforts were made to localize and remove musical staff lines leaving symbols to be recognized and parsed. The first commercial music-scanning product, MIDISCAN (now SmartScore), was released in 1991 by Musitek corporation.

Unlike OCR of text, where words are parsed sequentially, music notation involves parallel elements, as when several voices are present along with unattached performance symbols positioned nearby. Therefore, the spatial relationship between notes, expression marks, dynamics, articulations and other annotations is an important part of the expression of the music.

Proprietary software

capella-scan Info capella-scan
ForteScan Light by Fortenotation FORTE Scan Light
MIDI-Connections Scan by MIDI-Connections MIDI-Connections SCAN 2.0
MP Scan by Braeburn Music Publisher Scanning Edition. Uses SharpEye SDK.
MusicReader by Musicreader MusicReader PDF 4.0
NoteScan bundled with Nightingale NoteScan
OMeR (Optical Music easy Reader) Add-on for Harmony Assistant and Melody Assistant: Myriad Software OMeR (ShareWare)
PDFtoMUSIC by Myriad PDFtoMUSIC
PhotoScore by Neuratron PhotoScore Ultimate 7. The Light version of PhotoScore is used in Sibelius. PhotoScore uses the SharpEye SDK.
ScoreMaker by Kawai Scoremaker (Japanese)
Scorscan by npcImaging ScorScan. Based on SightReader(?)
SharpEye By Visiv SharpEye
SmartScore By Musitek SmartScore. Formerly packaged as "MIDISCAN". (SmartScore Lite is used in Finale).
VivaldiScan (same as SharpEye) VivaldiScan

Free/Open Source Software

Audiveris
OpenOMR (Java) (last release 2010)

External links

Optical Music Recognition (OMR): Programs and scientific papers
Optical Music Recognition Bibliography: A comprehensive list of papers published in OMR.
OMR (Optical Music Recognition) Systems: Comprehensive table of OMR.
Assessing Optical Music Recognition Tools Authors: Pierfrancesco Bellini, Ivan Bruno, Paolo Nesi
Optical Manuscript Analysis University of Leeds research project.

References

↑ Pruslin, Dennis Howard (1966). Automatic Recognition of Sheet Music (PDF). Retrieved 2007-01-24.

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