Phrase-Level Modeling of Expression in Violin Performances

TitlePhrase-Level Modeling of Expression in Violin Performances
Publication TypeConference Paper
Year of Publication2017
Conference NameProceedings of the 10th International Workshop on Machine Learning and Music
AuthorsOrtega, F. J. M., Giraldo S. I., & Ramirez R.
Pagination49–54
Conference LocationBarcelona, Spain
AbstractA model is proposed for predicting expressive variations in dynamics for violin performances with the purpose of facilitating expressive performance learning by students. The model uses phrases rather than single notes as units of analysis in a lazy learning approach: each phrase in a new score is matched to phrases from expressive performances by experts, adapting the experts’ transformations to render an expressive performance of the new score. In preliminary tests, the model approximates the dynamics of actual performances better than an unexpressive baseline model whenever the reference dataset contains melodies similar to those being predicted.
preprint/postprint documenthttp://hdl.handle.net/10230/37130
Final publicationhttps://musml.weebly.com/uploads/1/5/7/1/15718278/mml17proceedings.pdf
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