Sound and Music Analysis

The Sound and Music Analysis (SOMA) research group provides solutions that expand our understanding of the sonic world.

The Sound and Music Analysis research group assess music technology in order to improve its quality.

Research background

The group has emerged at the intersection of electronic engineering, computer and data science and computational musicology. 

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.  

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. 

Research areas

  • Music information retrieval 
  • Intelligent music production 
  • Rhythm and metre analysis 
  • Computational musicology 
  • Digital audio effects 
  • Automatic music transcription 


Research students 

  • Maciej Tomczak 
  • Matthew Cheshire
  • Jake Drysdale