Neural Waveshaping Synthesis. - Ben Hayes; Charalampos Saitis; György Fazekas (ISMIR, 2021)

Rigid-Body Sound Synthesis with Differentiable Modal Resonators. - Rodrigo Diaz; Ben Hayes; Charalampos Saitis; György Fazekas; Mark B. Sandler (ICASSP, 2023)

Sinusoidal Frequency Estimation by Gradient Descent. - Ben Hayes; Charalampos Saitis; György Fazekas (ICASSP, 2023)

The Responsibility Problem in Neural Networks with Unordered Targets. - Ben Hayes; Charalampos Saitis; György Fazekas (Tiny Papers @ ICLR, 2023)

A Review of Differentiable Digital Signal Processing for Music & Speech Synthesis. - Ben Hayes; Jordie Shier; György Fazekas; Andrew P. McPherson; Charalampos Saitis (CoRR, 2023)

AI (r)evolution - where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning. - Giovanni Bindi; Nils Demerlé; Rodrigo Diaz; David Genova; Aliénor Golvet; Ben Hayes; Jiawen Huang; Lele Liu; Vincent Martos; Sarah Nabi; Teresa Pelinski; Lenny Renault; et al. (CoRR, 2023)

DiffVox: A Differentiable Model for Capturing and Analysing Professional Effects Distributions. - Chin-Yun Yu; Marco A. Martínez Ramírez; Junghyun Koo; Ben Hayes; Wei-Hsiang Liao 001; György Fazekas; Yuki Mitsufuji (CoRR, 2025)

Audio synthesizer inversion in symmetric parameter spaces with approximately equivariant flow matching. - Ben Hayes; Charalampos Saitis; György Fazekas (CoRR, 2025)

PESTO: Real-Time Pitch Estimation with Self-supervised Transposition-equivariant Objective. - Alain Riou; Bernardo Torres; Ben Hayes; Stefan Lattner; Gaëtan Hadjeres; Gaël Richard; Geoffroy Peeters (CoRR, 2025)