Title :
Research on numbered musical notation recognition and performance in a intelligent system
Author_Institution :
Inst. of Inf. & Eng., Hunan Univ. of Sci. & Eng., Yong Zhou, China
Abstract :
A intelligent system with numbered musical notation recognition and performance (NMRPIS) is presented which is based on notation recognition and can play digital music automatically. The system combines with OMR to analyze musical notation, interpret completely, form the output quickly and efficiently by the embedded program. The experimental result indicates this system has high classification rate and higher recognition performance.
Keywords :
electronic music; embedded systems; music; optical character recognition; pattern classification; OMR; digital music; embedded program; intelligent system; numbered musical notation recognition; optical music recognition; Feature extraction; Heuristic algorithms; Image recognition; Intelligent systems; Music; Optical imaging; Support vector machine classification; OMR; music; notation recognition;
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-61284-108-3
DOI :
10.1109/ICBMEI.2011.5916943
