Computational Music Research
We explore how computation can augment and transform musical creation, performance, and experience.
Research Themes
Algorithmic Composition
- Rule-based and constraint-based composition systems
- Markov chains, grammatical approaches, and evolutionary algorithms
- Hybrid human–AI collaborative composition
AI and Machine Learning
- Neural networks for melody, harmony, and structure generation
- Style transfer and cross-domain music generation
- Real-time generative accompaniment (see DMA)
Performance Systems
- Interactive systems for live performance
- Score following and real-time synchronization
- Mixed-reality music experiences
Music Visualization
- Sonification and audiovisual mapping
- Real-time visual feedback for performance
- Data-driven musical representations