How current optical music recognition systems are becoming useful for digital libraries

Author:

jr Jan Hajič1,Kolárová Marta1,Pacha Alexander2,Calvo-Zaragoza Jorge3

Affiliation:

1. Charles University, Czech Republic

2. TU Wien, Austria

3. Universitat Politècnica de València, Spain

Funder

Czech Science Foundation

M?MT ?R

Charles University Grant Agency

Publisher

ACM

Reference25 articles.

1. Matching Musical Themes based on noisy OCR and OMR input

2. Jorge Calvo-Zaragoza and David Rizo. 2018. End-to-End Neural Optical Music Recognition of Monophonic Scores. Applied Sciences 4 (2018). Jorge Calvo-Zaragoza and David Rizo. 2018. End-to-End Neural Optical Music Recognition of Monophonic Scores. Applied Sciences 4 (2018).

3. L.iang Chen and Kun Duan. 2016. MIDI-assisted egocentric optical music recognition In 2016 IEEE Winter Conference on Applications of Computer Vision (WACV). 2016 IEEE Winter Conference on Applications of Computer Vision WACV 2016 (2016). cited By 0; Conference of IEEE Winter Conference on Applications of Computer Vision WACV 2016 ; Conference Date: 7 March 2016 Through 10 March 2016; Conference Code:121834. L.iang Chen and Kun Duan. 2016. MIDI-assisted egocentric optical music recognition In 2016 IEEE Winter Conference on Applications of Computer Vision (WACV). 2016 IEEE Winter Conference on Applications of Computer Vision WACV 2016 (2016). cited By 0; Conference of IEEE Winter Conference on Applications of Computer Vision WACV 2016 ; Conference Date: 7 March 2016 Through 10 March 2016; Conference Code:121834.

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