Musical symbol recognition using SOM-based fuzzy systems

被引：0
|
作者：
Su, MC [1 ]
Tew, CY [1 ]
Chen, HH [1 ]
机构：
[1] Natl Cent Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan
来源：
JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5 | 2001年
关键词：
neuro-fuzzy systems; pattern recognition; neural networks; optical music recognition;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：2150 / 2153
页数：4
相关论文
共 50 条
  • [11] SOM-Based Vector Recognition with Pre-Grouping Functionality
    Kurosaki, Yuto
    Ohta, Masayoshi
    Ito, Hidetaka
    Hikawa, Hiroomi
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2018, E101D (06) : 1657 - 1665
  • [12] SOM-based binary coding for single sample face recognition
    Liu, Fan
    Wang, Fei
    Ding, Yuhua
    Yang, Sai
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 13 (12) : 5861 - 5871
  • [13] Face Recognition Independent of Facial Expression Through SOM-based Classifiers
    Monteiro, Isaque Q.
    Queiroz, Samy D.
    Carneiro, Alex T.
    Souza, Luis G.
    Barreto, Guilherme A.
    PROCEEDINGS OF THE IEEE INTERNATIONAL TELECOMMUNICATIONS SYMPOSIUM, VOLS 1 AND 2, 2006, : 263 - 268
  • [14] SOM-based novelty detection using novel data
    Lee, HJ
    Cho, SZ
    INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING IDEAL 2005, PROCEEDINGS, 2005, 3578 : 359 - 366
  • [15] Automatic selection of relevant features using Rough Set Theory for real-time situation recognition based on fuzzy SOM-based CBR
    Sarkheyli, Arezoo
    Soeffker, Dirk
    2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 832 - 837
  • [16] A SOM-based multi-agent architecture for multirobot systems
    Zhu, A.
    Yang, S. X.
    INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2006, 21 (02): : 91 - 99
  • [17] A SOM-based multi-agent architecture for multirobot systems
    Zhu, A.
    Yang, S.X.
    International Journal of Robotics and Automation, 2006, 21 (02): : 91 - 99
  • [18] A comprehensible SOM-based scoring system
    Huysmans, J
    Baesens, B
    Vanthienen, J
    MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, PROCEEDINGS, 2005, 3587 : 80 - 89
  • [19] SOM-Based estimation of meteorological profiles
    Tambouratzis, T
    ADAPTIVE AND NATURAL COMPUTING ALGORITHMS, 2005, : 173 - 176
  • [20] Universal Fault Detection for NFV using SOM-based Clustering
    Niwa, Tomonobu
    Miyazawa, Masanori
    Hayashi, Michiaki
    Stadler, Rolf
    2015 17TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM APNOMS, 2015, : 315 - 320
12345