We are delighted to share that Mary Pilataki, a PhD student at AIM, has received the Best Paper Award at the Audio Engineering Society International Conference on Artificial Intelligence and Machine Learning for Audio (AES AIMLA) 2025.
The awarded paper, “Extraction and Neural Synthesis of Low-Order Spectral Components for Head-Related Transfer Functions”, presents research carried out during her internship at PlayStation London in collaboration with Cal Armstrong and Chris Buchanan. The study explores how deep learning can separate sound colouration from spatial cues in Head-Related Transfer Functions (HRTFs), opening up new possibilities for creating more personalised and immersive 3D audio experiences.
The full paper is available through the AES E-Library.