Advances in Music Reading Systems

Dear colleagues,

Developing computational systems for reading music scores represents an attractive endeavor, which provides an efficient way of opening up the vast amount of existing written music for musicians and musicological research. In addition, the involved tasks represent exciting opportunities for research in the fields of computer science, machine learning, and computer vision.

While it might be true that the task of reading music shares similarities with others (for instance, the optical processing of text documents), music notation has enough nuances that call for specific solutions, which are not easily generalized from other domains. This Special Issue seeks advances for all kinds of computational systems that read music or deal with documents depicting music. These include, but are not limited to:

• Optical music recognition
• Information retrieval from music scores
• Sheet music search
• Score following
• Image processing on music scores
• Multi-modal systems involving sheet music
• Writer/Hand identification
• Novel input-methods to produce or edit written music
• Applications related to sheet music and reading systems
• Evaluation methods and protocols
• Datasets and systems for creating large datasets
• Application of existing technologies in new use-cases

Prof. Dr. Jorge Calvo-Zaragoza
Dr. Alexander Pacha
Guest Editors

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