- Analyzing patterns in music and finding similar music compositions is a complex issue and provides a wide area of research with a growing community.
- Understanding musical features such as harmony, rhythm, and structure is a difficult task
- The target is to develop new interactive visual analysis techniques that support the analysis of relevant features in music data based on MusicXML
- Implementation of user-steered analysis methods based on new visualizations to identify musical patterns of and between different features
- How can we visualize musical features?
- How can interactive analysis techniques be implemented to identify characteristic musical patterns?
- Examine and identify existing approaches and analysis models
- Work with a large dataset of music data based on the established MusicXML standard format
- Implement a visualization pipeline that processes and transforms raw MusicXML files into interactive visualization models
- Create analysis models that support that understanding of pattern from different musical features
- Interest in learning about music and its underlying theory (e.g., harmony, rhythm, structure)
- Basic knowledge about information visualization
- Readiness to do creative research work independently
- Scope: Bachelor / Master
- Project/Thesis Duration: 3 months / 3 months (Bachelor), 3 months / 6 months (Master)
- Start: immediately
- M. Good. MusicXML for notation and analysis. The virtual score: representation, retrieval, restoration 12:113-124, 2001.
- W. Chan, and Qu Huamin. A Report on Musical Structure Visualization. Leonardo, Department of Computer Science and Engineering Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong, 2007.
- T. Bergstrom, K. Karahalios, and J. C. Hart. Isochords: visualizing structure in music. In Proceedings of Graphics Interface 2007. ACM, 2007.