HCGRMar 24

Supporting Music Education through Visualizations of MIDI Recordings

arXiv:2603.236312.81 citationsh-index: 5
AI Analysis

This addresses a specific need for musicians in music education by providing incremental visual analysis tools.

The paper tackled the problem of musicians lacking visual tools to analyze their performances by proposing visualizations for MIDI recordings, focusing on rhythm to detect errors and stylistic variance.

Musicians mostly have to rely on their ears when they want to analyze what they play, for example to detect errors. Since hearing is sequential, it is not possible to quickly grasp an overview over one or multiple recordings of a whole piece of music at once. We therefore propose various visualizations that allow analyzing errors and stylistic variance. Our current approach focuses on rhythm and uses MIDI data for simplicity.

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