Tolka musiktecken från bilder : Optisk musikigenkänning med maskininlärning

Sammanfattning: The objective of the project was to examine the possibility to use machine lear- ning without prior knowledge of machine learning or of mathematics and if that is possible also explore the possibility to use machine learning to interpret a picture of a piece of sheet music. The capacity of detecting notes from images of sheet music in the produced model was then compared to an existing pro- gram called Audiveris. The result became a model later used in a comparison with the program Audiveris. The comparison resulted in Audiveris finding al- most 100% of the notes but the new model only being able to detect about a third. The reasons for the big difference were probably: first that Audiveris has been in development for many years and secondly that the training data used for the new model wasn’t enough varied and complicated. To further increase the ability of the new model ́s skill the main point would be the need for more trai- ning data at the training of the model. Even then you need to supply a variation in the data ́s content and its degree of difficulty which is more varied then the first training data.