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Decoupling music notation to improve end-to-end Optical Music Recognition

  • Published:2022-06 Issue: Volume:158 Page:157-163
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Alfaro-Contreras MaríaORCID,Ríos-Vila AntonioORCID,Valero-Mas Jose J.ORCID,Iñesta José M.,Calvo-Zaragoza JorgeORCID

Funder

España Ministerio de Ciencia Innovación y Universidades

Education Culture and Sports Department

Gobierno de España Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference27 articles.

1. OMR-assisted transcription: a case study with early prints;Alfaro-Contreras,2021

2. Exploiting the two-Dimensional nature of agnostic music notation for neural optical music recognition;Alfaro-Contreras;Appl. Sci.,2021

3. The challenge of optical music recognition;Bainbridge;Comput. Hum.,2001

4. Handwritten historical music recognition by sequence-to-sequence with attention mechanism;Baró,2020

5. Understanding optical music recognition;Calvo-Zaragoza;ACM Comput. Surv. (CSUR),2020

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A unified representation framework for the evaluation of Optical Music Recognition systems;International Journal on Document Analysis and Recognition (IJDAR);2024-07-24

2. Sheet Music Transformer: End-To-End Optical Music Recognition Beyond Monophonic Transcription;Lecture Notes in Computer Science;2024

3. Source-Free Domain Adaptation for Optical Music Recognition;Lecture Notes in Computer Science;2024

4. A Stave-Aware Optical Music Recognition on Monophonic Scores for Camera-Based Scenarios;Applied Sciences;2023-08-17

5. End-to-end optical music recognition for pianoform sheet music;International Journal on Document Analysis and Recognition (IJDAR);2023-05-12
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