The state of the art in procedural audio
Procedural audio may be defined as real-time sound generation according to programmatic
rules and live input. It is often considered a subset of sound synthesis and is especially …
rules and live input. It is often considered a subset of sound synthesis and is especially …
Reverse engineering of a recording mix with differentiable digital signal processing
A method to retrieve the parameters used to create a multitrack mix using only raw tracks
and the stereo mixdown is presented. This method is able to model linear time-invariant …
and the stereo mixdown is presented. This method is able to model linear time-invariant …
Reverse engineering memoryless distortion effects with differentiable waveshapers
We present a lightweight method of reverse engineering distortion effects using Wiener-
Hammerstein models implemented in a differentiable framework. The Wiener-Hammerstein …
Hammerstein models implemented in a differentiable framework. The Wiener-Hammerstein …
A deep learning approach to intelligent drum mixing with the wave-u-net
The development of intelligent music production tools has been of growing interest in recent
years. Deep learning approaches have been shown as being a highly effective method for …
years. Deep learning approaches have been shown as being a highly effective method for …
Fxive: A web platform for procedural sound synthesis
F**ve is a real-time sound effect synthesis framework in the browser. The system is
comprised of a library of synthesis models, audio effects, post-processing tools, temporal …
comprised of a library of synthesis models, audio effects, post-processing tools, temporal …
Optimization Techniques for a Physical Model of Human Vocalisation
We present a non-supervised approach to optimize and evaluate the synthesis of non-
speech audio effects from a speech production model. We use the Pink Trombone …
speech audio effects from a speech production model. We use the Pink Trombone …
Neural synthesis of sound effects using flow-based deep generative models
Creating variations of sound effects for video games is a time-consuming task that grows
with the size and complexity of the games themselves. The process usually comprises …
with the size and complexity of the games themselves. The process usually comprises …
SpecSinGAN: Sound effect variation synthesis using single-image GANs
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. In this …
training example to generate variations of it, removing the need of a large dataset. In this …
The impact of audio effects processing on the perception of brightness and warmth
It is not uncommon to hear musicians and audio engineers speak of warmth and brightness
when describing analog technologies such as vintage mixing consoles, multitrack tape …
when describing analog technologies such as vintage mixing consoles, multitrack tape …