2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.SD2023
NoiseBandNet: Controllable Time-Varying Neural Synthesis of Sound Effects Using Filterbanks
Adrián Barahona-Ríos, Tom Collins
Controllable neural audio synthesis of sound effects is a challenging task due to the potential scarcity and spectro-temporal variance of the data. Differentiable digital signal pr…
cs.SD2021★ 2 cited
SpecSinGAN: Sound Effect Variation Synthesis Using Single-Image GANs
Adrián Barahona-Ríos, Tom Collins
Single-image generative adversarial networks learn from the internal distribution of a single training example to generate variations of it, removing the need of a large dataset. I…