TY  - CONF
AU  - Arnau Baro
AU  - Pau Riba
AU  - Jorge Calvo-Zaragoza
AU  - Alicia Fornes
A2  - ICDAR
PY  - 2017//
TI  - Optical Music Recognition by Recurrent Neural Networks
BT  - 14th IAPR International Workshop on Graphics Recognition
SP  - 25
EP  - 26
KW  - Optical Music Recognition
KW  - Recurrent Neural Network
KW  - Long Short-Term Memory
N2  - Optical Music Recognition is the task of transcribing a music score into a machine readable format. Many music scores are written in a single staff, and therefore, they could be treated as a sequence. Therefore, this work explores the use of Long Short-Term Memory (LSTM) Recurrent Neural Networks for reading the music score sequentially, where the LSTM helps in keeping the context. For training, we have used a synthetic dataset of more than 40000 images, labeled at primitive level
L1  - http://refbase.cvc.uab.es/files/BRC2017.pdf
UR  - http://dx.doi.org/10.1109/ICDAR.2017.260
N1  - DAG; 600.097; 601.302; 600.121
ID  - Arnau Baro2017
ER  -