Musical symbol recognition using SOM-based fuzzy systems

Mu Chun Su, Chee Yuen Tew, Hsin Hua Chen

Research output: Contribution to conferencePaperpeer-review

6 Scopus citations

Abstract

Over the last two decades a large number of research activities have been undertaken to investigate into Optical Music Recognition (OMR). OMR involves identifying musical symbols on a scanned sheet of music and transforming them into a computer readable format. In this paper we propose an efficient method based on SOM-based fuzzy systems to recognize musical symbols. A database consisting of 9 kinds of musical symbols were used to test the performance of the SOM-based fuzzy systems.

Original languageEnglish
Pages2150-2153
Number of pages4
StatePublished - 2001
EventJoint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada
Duration: 25 Jul 200128 Jul 2001

Conference

ConferenceJoint 9th IFSA World Congress and 20th NAFIPS International Conference
Country/TerritoryCanada
CityVancouver, BC
Period25/07/0128/07/01

Keywords

  • Neural networks
  • Neuro-fuzzy systems
  • Optical music recognition
  • Pattern recognition

Fingerprint

Dive into the research topics of 'Musical symbol recognition using SOM-based fuzzy systems'. Together they form a unique fingerprint.

Cite this