The paper “Optical music recognition for homophonic scores with neural networks and synthetic music generation” by Maria Alfaro-Contreras, Jose M. Iñesta and Jorge Calvo-Zaragoza has been accepted in the journal International Journal of Multimedia Information Retrieval.
Several papers from our group has been accepted at the 11th Iberian Conference on Pattern Recognition and Image Analysis:
The paper “End-to-End Page-Level Assessment of Handwritten Text Recognition” by Enrique Vidal, Alejandro H. Toselli, Antonio Rios-Vila and Jorge Calvo-Zaragoza has been accepted in the journal Pattern Recognition.
“Insights into end-to-end audio-to-score transcription with real recordings: A case study with saxophone works” by Juan C. Martinez-Sevilla, Maria Alfaro-Contreras, Jose J. Valero-Mas and Jorge Calvo-Zaragoza has been accepted in INTERSPEECH 2023
The Spanish translation of the Music Encoding Initiative (MEI) tutorials, by Alba Bedmar, and adapted for MEI by David Rizo, is finally online.
Our group participates in the European Union project “Repertorium” as responsible for the tasks of optical music recognition. Follow us on Medium: https://repertorium-ai.medium.com/
New paper accepted: María Alfaro-Contreras, Antonio Ríos-Vila, Jose J. Valero-Mas, Jorge Calvo-Zaragoza: “Few-Shot Symbol Classification via Self-Supervised Learning and Nearest Neighbor”. In Pattern Recognition Letters.
New paper accepted: Juan R. Rico-Juan, Víctor M. Sánchez-Cartagena, Jose J. Valero-Mas, and Antonio Javier Gallego. “Identifying Student Profiles within Online Judge systems using Explainable Artificial Intelligence”. In Transactions on Learning Technologies
New paper accepted: María Alfaro-Contreras, Jose J. Valero-Mas, Jose M. Iñesta, Jorge Calvo-Zaragoza: “Late multimodal fusion for image and audio music transcription”. In Expert Systems With Applications.
New paper accepted: Alejandro Sánchez-Ferrer, Jose J. Valero-Mas, Antonio Javier Gallego, Jorge Calvo-Zaragoza. “An Experimental Study on Marine Debris Location and Recognition using Object Detection”. In Pattern Recognition Letters.