Welcome to the InfoSci Platform
Reference Hub1
Applying Machine Learning in Optical Music Recognition of Numbered Music Notation

Applying Machine Learning in Optical Music Recognition of Numbered Music Notation

Fu-Hai Frank Wu
Copyright: © 2020 |Pages: 23
ISBN13: 9781799824602|ISBN10: 1799824608|EISBN13: 9781799824619
DOI: 10.4018/978-1-7998-2460-2.ch098
Cite Chapter Cite Chapter

MLA

Wu, Fu-Hai Frank. "Applying Machine Learning in Optical Music Recognition of Numbered Music Notation." Cognitive Analytics: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 1915-1937. https://doi.org/10.4018/978-1-7998-2460-2.ch098

APA

Wu, F. F. (2020). Applying Machine Learning in Optical Music Recognition of Numbered Music Notation. In I. Management Association (Ed.), Cognitive Analytics: Concepts, Methodologies, Tools, and Applications (pp. 1915-1937). IGI Global. https://doi.org/10.4018/978-1-7998-2460-2.ch098

Chicago

Wu, Fu-Hai Frank. "Applying Machine Learning in Optical Music Recognition of Numbered Music Notation." In Cognitive Analytics: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1915-1937. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2460-2.ch098

Export Reference

Mendeley
Favorite

Abstract

Although research of optical music recognition (OMR) has existed for few decades, most of efforts were put in step of image processing to approach upmost accuracy and evaluations were not in common ground. And major music notations explored were the conventional western music notations with staff. On contrary, the authors explore the challenges of numbered music notation, which is popular in Asia and used in daily life for sight reading. The authors use different way to improve recognition accuracy by applying elementary image processing with rough tuning and supplementing with methods of machine learning. The major contributions of this work are the architecture of machine learning specified for this task, the dataset, and the evaluation metrics, which indicate the performance of OMR system, provide objective function for machine learning and highlight the challenges of the scores of music with the specified notation.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.