Title :
A Robust Method for Musical Note Recognition
Author :
Xiaoxiang Liu;Mi Zhou;Peng Xu
Author_Institution :
Coll. of Electr. Eng. &
Abstract :
Musical note recognition plays a fundamental role in the process of the optical music recognition system. In this paper, we propose a robust method for recognizing notes. The method includes three parts: (1) the description of relationships between primitives by introducing the concept of interaction field, (2) the definition of six hierarchical structure features for analyzing notes structures, (3) the workflow of primitive assembly under the guidance of giving priority to key structure features. To evaluate the performance of our method, we present experimental results on real-life scores and comparisons with two commercial products. Experiment show that our method lead to quite good results, especially for complicated scores.
Keywords :
"Robustness","Adaptive optics","Complexity theory","Image analysis","Design automation","Computer graphics","Electrical engineering"
Conference_Titel :
Computer-Aided Design and Computer Graphics (CAD/Graphics), 2015 14th International Conference on
DOI :
10.1109/CADGRAPHICS.2015.34