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 analysis 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.