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Optical Music Recognition on the International Music Score Library Project
Christopher Raphael, Indiana University, Bloomington
Grant details: https://securegrants.neh.gov/publicquery/main.aspx?f=1&gn=HD-51087-10
New Approaches to Optical Music Recognition (Conference Paper/Presentation)
Title: New Approaches to Optical Music Recognition
Author: Christopher Raphael and Jingya Wang
Abstract: We present the beginnings of a new system for optical music recognition (OMR), aimed toward the score images of the International Music Score Library Project (IMSLP). Our system focuses on measures as the basic unit of recognition. We identify candidate composite symbols (chords and beamed groups) using grammatically-formulated top-down model-based methods, while employing template matching to find isolated rigid symbols. We reconcile these overlapping symbols by seeking non-overlapping variants of the composite symbols that best account for the pixel data. We present results on a representative score from the IMSLP.
Primary URL: http://www.music.informatics.indiana.edu/papers/ismir11/
Primary URL Description: Examples of the current state of the art for our recognition system.
Conference Name: International Symposium on Music Information Retrieval (ISMIR11)