Optical music recognition using skeleton structure and neural network

2002 ◽  
Author(s):  
Seok C. Chang ◽  
Sang M. Soak ◽  
Taehwan Shin ◽  
Byung-Ha Ahn
Keyword(s):  
Neural Network ◽  
Optical Music Recognition ◽  
Music Recognition ◽  
Skeleton Structure

scholarly journals A new optical music recognition system based on combined neural network

2015 ◽  
Vol 58 ◽  
pp. 1-7 ◽  
Author(s):  
Cuihong Wen ◽  
Ana Rebelo ◽  
Jing Zhang ◽  
Jaime Cardoso
Keyword(s):  
Neural Network ◽  
Recognition System ◽  
Optical Music Recognition ◽  
Music Recognition

scholarly journals Convolutional Neural Network untuk Pengenalan Citra Notasi Musik

Techno Com ◽  
2019 ◽  
Vol 18 (3) ◽  
pp. 214-226
Author(s):  
Dzikry Maulana Hakim ◽  
Ednawati Rainarli
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Feature Learning ◽  
Optical Music Recognition ◽  
Music Recognition ◽  
Hidden Layer

Optical Music Recognition (OMR) adalah suatu cara untuk melakukan pengenalan pada notasi musik secara otomatis. Masalah utama dalam pendeteksian notasi musik adalah bagaimana sistem dapat mendeteksi sebuah notasi musik dan kemudian mengenali notasi musik tersebut. Notasi musik yang telah dikenali oleh mesin dapat dimanfaatkan untuk diproses kembali menjadi suara. Pada penelitian ini, proses segmentasi dilakukan untuk memotong setiap notasi. Untuk pengenalan notasi musik digunakan Convolutional Neural Network (CNN). Arsitektur CNN yang dipakai adalah kernel 3x3, jumlah layer pada feature learning sebanyak 3 convolutional layer dan 3 pooling layer, filter pada convolutional layer 64,128, 256 dan jumlah neuron pada hidden layer sebanyak 7168. Pengujian dilakukan dengan dua cara, yang pertama menguji performasi CNN menggunakan data notasi musik yang telah dipotong dan yang kedua adalah melakukan pengujian menggunakan sebaris notasi musik. Nilai akurasi yang didapatkan untuk pengenalan sebaris notasi musik tidak terlalu besar, yaitu 26,19%. Walaupun untuk proses segmentasi masih belum maksimal dalam memotong setiap notasi, namun metode CNN bekerja sangat baik untuk mengenali setiap notasi musik yang telah dipotong dengan benar. Hal ini ditunjukkan dari nilai akurasi yang mencapai 95,56%. 

Pengantar dan Survey Tentang Optical Music Recognition

2014 ◽  
Vol 6 (1) ◽  
pp. 36-39
Author(s):  
Kevin Purwito
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Optical Music Recognition ◽  
Optical Character ◽  
Digital Format ◽  
Music Recognition ◽  
Index Terms ◽  
The Many ◽  
Further Development ◽  
Music Symbol

This paper describes about one of the many extension of Optical Character Recognition (OCR), that is Optical Music Recognition (OMR). OMR is used to recognize musical sheets into digital format, such as MIDI or MusicXML. There are many musical symbols that usually used in musical sheets and therefore needs to be recognized by OMR, such as staff; treble, bass, alto and tenor clef; sharp, flat and natural; beams, staccato, staccatissimo, dynamic, tenuto, marcato, stopped note, harmonic and fermata; notes; rests; ties and slurs; and also mordent and turn. OMR usually has four main processes, namely Preprocessing, Music Symbol Recognition, Musical Notation Reconstruction and Final Representation Construction. Each of those four main processes uses different methods and algorithms and each of those processes still needs further development and research. There are already many application that uses OMR to date, but none gives the perfect result. Therefore, besides the development and research for each OMR process, there is also a need to a development and research for combined recognizer, that combines the results from different OMR application to increase the final result’s accuracy. Index Terms—Music, optical character recognition, optical music recognition, musical symbol, image processing, combined recognizer  

scholarly journals Understanding Optical Music Recognition

2020 ◽  
Vol 53 (4) ◽  
pp. 1-35 ◽  
Author(s):  
Jorge Calvo-Zaragoza ◽  
Jan Hajič Jr. ◽  
Alexander Pacha
Keyword(s):  
Optical Music Recognition ◽  
Music Recognition

Optical music recognition for traditional Thai sheet music

2014 ◽  
Author(s):  
Worapan Kusakunniran ◽  
Attapol Prempanichnukul ◽  
Arthid Maneesutham ◽  
Kullachut Chocksawud ◽  
Suparus Tongsamui ◽  
...  
Keyword(s):  
Sheet Music ◽  
Optical Music Recognition ◽  
Music Recognition
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