most citedFast Diffusion GAN Model for Symbolic Music Generation Controlled by Emotions

5 citations · 13 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD20241 cited

Real-time Timbre Remapping with Differentiable DSP

Jordie Shier, Charalampos Saitis, Andrew Robertson +1

Timbre is a primary mode of expression in diverse musical contexts. However, prevalent audio-driven synthesis methods predominantly rely on pitch and loudness envelopes, effectivel…

cs.SD20235 cited

Fast Diffusion GAN Model for Symbolic Music Generation Controlled by Emotions

Jincheng Zhang, György Fazekas, Charalampos Saitis

Diffusion models have shown promising results for a wide range of generative tasks with continuous data, such as image and audio synthesis. However, little progress has been made o…

cs.SD20232 cited

Differentiable Modelling of Percussive Audio with Transient and Spectral Synthesis

Jordie Shier, Franco Caspe, Andrew Robertson +3

Differentiable digital signal processing (DDSP) techniques, including methods for audio synthesis, have gained attention in recent years and lend themselves to interpretability in…

cs.SD2023

A Review of Differentiable Digital Signal Processing for Music & Speech Synthesis

Ben Hayes, Jordie Shier, György Fazekas +2

The term "differentiable digital signal processing" describes a family of techniques in which loss function gradients are backpropagated through digital signal processors, facilita…

cs.SD20231 cited

Interactive Neural Resonators

Rodrigo Diaz, Charalampos Saitis, Mark Sandler

In this work, we propose a method for the controllable synthesis of real-time contact sounds using neural resonators. Previous works have used physically inspired statistical metho…

cs.CL20233 cited

The language of sounds unheard: Exploring musical timbre semantics of large language models

Kai Siedenburg, Charalampos Saitis

Semantic dimensions of sound have been playing a central role in understanding the nature of auditory sensory experience as well as the broader relation between perception, languag…