AIM PhD students both organised and presented at the AES International Symposium on AI and the Musician, which took place on 6-8 June 2024 at the Berklee College of Music, Boston, MA, USA.
The following works were authored/coauthored by AIM PhD students and academic staff:
- Deep learning-based audio representations for the analysis and visualisation of electronic dance music DJ mixes, by Alexander Williams, Haokun Tian, Stefan Latter, Mathieu Barthet, and Charalampos Saitis
- Advancing AI in music composition: refining the generative music overpainting task, by Eleanor Row and George Fazekas
- When XR meets AI: Integrating interactive machine learning with an XR musical instrument, by Max Graf and Mathieu Barthet