Abstract
Music is rhythm, timbre, tones, intensity and performance. Conventional Western Music Notation (CWMN) is used to generate Music Scores in order to register music on paper. Optical Music Recognition (OMR) studies techniques and algorithms for converting music scores into a readable format for computers. This work presents a systematic literature review (SLR) searching for metrics and methods of evaluation and comparing for OMR systems and algorithms. The most commonly used metrics on OMR works are described. A research protocol is elaborated and executed. From 802 publications found, 94 are evaluated. All results are organized and classified focusing on metrics, stages, comparisons, OMR datasets and related works. Although there is still no standard methodology for evaluating OMR systems, a good number of datasets and metrics are already available and apply to all the stages of OMR. Some of the analyzed works can give good directions for future works.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
