Martínez Segura, Javier
MureTools. An Optical Music Recognition Supporting System
URI: http://hdl.handle.net/10045/116997
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Abstract: 
This project has the intention of providing supporting tools in the OMR (Optical Music Recognition) field by easing training and evaluation tasks. Through this whole work, the OMR field along with the relevant processes being carried out with the objective of digitizing and preserving musical pieces and tradition will be presented. Additionally, not only formats and representations will be introduced, but also neural networks models proven to be effective in this field, as well as its relevant concepts and metrics will be included throughout, unveiling also the procedures carried out in order to achieve the proposed objectives, as well as the solutions for issues that arise. Furthermore it will be important to showcase the possibilities of integrating all of these kind of tasks through web microservices and synchronous and asynchronous protocols, using task queuing so processes can take place over time steadily and effectively.
Keywords:OMR, Machine learning, Deep learning, Microservices, Web API
info:eu-repo/semantics/bachelorThesis