58 citations · 139 across the 19 of their papers we have counts for
26 papers
Composers' Evaluations of an AI Music Tool: Insights for Human-Centred Design
Eleanor Row, György Fazekas
We present a study that explores the role of user-centred design in developing Generative AI (GenAI) tools for music composition. Through semi-structured interviews with profession…
Pianist Identification Using Convolutional Neural Networks
Jingjing Tang, Geraint Wiggins, Gyorgy Fazekas
This paper presents a comprehensive study of automatic performer identification in expressive piano performances using convolutional neural networks (CNNs) and expressive features.…
AI as mediator between composers, sound designers, and creative media producers
Sebastian Löbbers, Mathieu Barthet, György Fazekas
Musical professionals who produce material for non-musical stakeholders often face communication challenges in the early ideation stage. Expressing musical ideas can be difficult,…
Sinusoidal Frequency Estimation by Gradient Descent
Ben Hayes, Charalampos Saitis, György Fazekas
Sinusoidal parameter estimation is a fundamental task in applications from spectral analysis to time-series forecasting. Estimating the sinusoidal frequency parameter by gradient d…
Rigid-Body Sound Synthesis with Differentiable Modal Resonators
Rodrigo Diaz, Ben Hayes, Charalampos Saitis +2
Physical models of rigid bodies are used for sound synthesis in applications from virtual environments to music production. Traditional methods such as modal synthesis often rely o…
Contrastive Audio-Language Learning for Music
Ilaria Manco, Emmanouil Benetos, Elio Quinton +1
As one of the most intuitive interfaces known to humans, natural language has the potential to mediate many tasks that involve human-computer interaction, especially in application…