Supporting Music Education through Visualizations of MIDI Recordings

2026-03-24

Technology Category

Machine Learning: Evaluation and AnalysisPlanning, Routing, and Scheduling: Activity and Plan RecognitionComputer Vision: Video Understanding & Activity Analysis

Application Category

Web Mining and Content Analysis: Web data visualizationSearch and Retrieval-Augmented AI: Web learning to rank, online learning, and counterfactual learning for rankingUser Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success

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.

Problem

• Music Education
• MIDI Recordings
• Error Detection
• Rhythm Analysis
• Audio Visualization

Innovation

• music education
• MIDI visualization
• rhythm analysis
• error detection
• stylistic variance