1. Rizo, D.; Calvo-Zaragoza, J.; Iñesta, J.M.

, vol. Proceedings of the 5th International Conference on Digital Libraries for Musicology (DLfM'18), pp. 52--56. París, France (2018)

The transcription process from early and modern notation ma-nu-scripts to a structured digital encoding has been traditionally performed following a fully manual workflow. At most it has received some technological support in particular stages, like optical music recognition (OMR) of the source images, or transcription to modern notation with music edition applications. Currently, there is no mature and stable enough solution for the OMR problem, and the most used music editors do not support early notations, such as the mensural one. In this work, a new tool called MUsic Recognition, Encoding, and Transcription (MuRET) is introduced, which covers all transcription phases, from the manuscript source to the encoded digital content. MuRET is designed as a technology-focused research tool, allowing different processing approaches to be used, and producing both the expected transcribed contents in standard encodings and data for the study of the transcription process itself.