AIM students organise and participate at the AES International Symposium on AI and the Musician
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.
AIM PhD student Christian Steinmetz was both Papers Chair and Workshops Chair for the symposium, and was instrumental in organising a successful event.
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
On the 11th of June, AIM PhD student 
Using a prediction tool,