Towards deep interpretability (MuS-rover II): Learning hierarchical representations of tonal music

Arts and Humanities

• Learning Process 100%
• Style 100%
• Tonal Music 100%
• Cognitive 50%
• Application 50%
• theorists 50%
• Syllabus 50%
• Music Scores 50%
• Music theory 50%
• Chorale 50%
• Dy-namic system 50%
• Music Pedagogy 50%
• Symbolic Music 50%

Keyphrases

• Hierarchical Representation 100%
• Rover 100%
• Tonal music 100%
• Learning Process 40%
• System Dynamics 20%
• Rule-based System 20%
• Learning Support 20%
• Customizable 20%
• Theory Study 20%
• Concept Learning 20%
• Syllabus 20%
• Language Model 20%
• Composition Rules 20%
• Potential Utilization 20%
• Rule Learning 20%
• Music Score 20%
• Music Style 20%
• Rules of Interpretation 20%
• Bach's Chorales 20%
• Music Theory 20%
• High-level Representation 20%
• Human-Interpretable 20%
• Symbolic music 20%
• Style Recognition 20%
• Music Pedagogy 20%
• Music Composers 20%

Computer Science

• Learning Process 100%
• Deep Learning 100%
• Interpretability 100%
• System Dynamics 50%
• Level Representation 50%
• Language Modeling 50%