The Sound and Music Analysis (SOMA) research group provides solutions that expand our understanding of the sonic world.
Research background
The group has emerged at the intersection of electronic engineering, computer and data science and computational musicology.Ìý
Bridging cutting-edge audio signal processing, music information retrieval and machine learning techniques, our research investigates novel interactions with audio documents for the objective of developing frameworks, best practices and tools for analysis and sound and music production.ÌýÌý
The outputs of the group are geared towards both archival and preservation technologies for social and educative benefit and the generation of novel approaches to music creation, equipping future-minded artists with future tools to create future music.Ìý
Research areas
- Music information retrievalÌý
- Intelligent music productionÌý
- Rhythm and metre analysisÌý
- Computational musicologyÌý
- Digital audio effectsÌý
- Automatic music transcriptionÌý
Researchers
Research studentsÌý
- MaciejÌýTomczakÌý
- Matthew Cheshire
- Jake Drysdale