RhythmTrain: making rhythmic sight reading training fun

Godfrey, Reece, Rimmer, Matthew, Headleand, Chris and Fox, Charles (2022) RhythmTrain: making rhythmic sight reading training fun. In: International Computer Music Conference, 3-7 July 2022, Limerick, Ireland.

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RhythmTrain: making rhythmic sight reading training fun
Conference paper
ICMCRhythmTrain.pdf - Whole Document
Available under License Creative Commons Attribution.

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


Rhythmic sight-reading forms a barrier to many musicians' progress. It is difficult to practice in isolation, as it is hard to get feedback on accuracy. Different performers have different starting skills in different styles so it is hard to create a general curriculum for study. It can be boring to rehearse the same rhythms many times. We examine theories of motivation, engagement, and fun, and draw them together to design a novel training system, RhythmTrain. This includes consideration of dynamic difficultly, gamification and juicy design. The system uses machine learning to learn individual performers' strengths, weaknesses, and interests, and optimises the selection of rhythms presented to maximise their engagement. An open source implementation is released as part of this publication.

Keywords:pedagogy, machine learning, music, training, rhythm
Subjects:X Education > X200 Research and Study Skills in Education
W Creative Arts and Design > W300 Music
Divisions:College of Science > School of Computer Science
ID Code:49153
Deposited On:16 May 2022 14:08

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