Supporting Music Education through Visualizations of MIDI Recordings
Frank Heyen, Michael Sedlmair
TL;DR
This paper introduces visualization techniques for MIDI recordings to help musicians analyze errors and stylistic differences more efficiently, addressing limitations of auditory analysis.
Contribution
It presents novel visualizations specifically designed for MIDI data to improve music analysis, focusing on rhythm and error detection.
Findings
Visualizations enable quicker error detection.
Rhythm-focused visualizations reveal stylistic variance.
Approach simplifies analysis using MIDI data.
Abstract
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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Taxonomy
TopicsMusic and Audio Processing · Music Technology and Sound Studies · Neuroscience and Music Perception