Virtual Music Teacher for New Music Learners with Optical Music Recognition

2015 ◽  
pp. 415-426
Author(s):  
Viet-Khoi Pham ◽  
Hai-Dang Nguyen ◽  
Minh-Triet Tran
Keyword(s):  
New Music ◽  
Music Teacher ◽  
Optical Music Recognition ◽  
Music Recognition

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

The New Music Teacher

1959 ◽  
Vol 45 (5) ◽  
pp. 62-63
Author(s):  
Clifford W. Brown
Keyword(s):  
New Music ◽  
Music Teacher

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

Optical music recognition and manuscript chant sources

Early Music ◽  
2014 ◽  
Vol 42 (4) ◽  
pp. 555-558 ◽  
Author(s):  
K. Helsen ◽  
J. Bain ◽  
I. Fujinaga ◽  
A. Hankinson ◽  
D. Lacoste
Keyword(s):  
Optical Music Recognition ◽  
Music Recognition

YOLO based Optical Music Recognition and Virtual Reality Content Creation Method

2021 ◽  
Vol 10 (4) ◽  
pp. 80-90
Author(s):  
Kyeongmin Oh ◽  
Yoseop Hong ◽  
Geongyeong Baek ◽  
Chanjun Chun
Keyword(s):  
Virtual Reality ◽  
Content Creation ◽  
Optical Music Recognition ◽  
Music Recognition
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