PT Unknown
AU Arnau Baro
   Pau Riba
   Jorge Calvo-Zaragoza
   Alicia Fornes
TI Optical Music Recognition by Recurrent Neural Networks
BT 14th IAPR International Workshop on Graphics Recognition
PY 2017
BP 25
EP 26
DI 10.1109/ICDAR.2017.260
DE Optical Music Recognition; Recurrent Neural Network; Long Short-Term Memory
AB 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
ER