Development of a prototype optical music recognition (OMR) software application and editorial platform to allow greater scholarly access to digitized music archives.
For decades scholars in computational musicology, music informatics, and other related disciplines have bemoaned the lack of symbolically-represented music. Such representations allow music to be searched, compared, transformed, and analyzed in myriad ways. Over the last several years the International Music Score Library Project (IMSLP), an open library of primarily scanned public domain classical music scores, has achieved "viral,'' status, now well-known in musical circles worldwide. This library allows easy and universal access to a wide and rapidly deepening collection of scanned musical scores. Optical music recognition (OMR), analogous to optical character recognition (OCR), converts music score images into symbolic form. We see in the IMSLP a potential gold mine of symbolic music data and propose, in conjunction with Indiana University's music library, to begin a long-term project toward developing the open source software needed to accomplish this goal.