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

We present a framework that can impose the audio effects and production style from one
recording to another by example with the goal of simplifying the audio production process …

A vocoder is a conditional audio generation model that converts acoustic features such as
mel-spectrograms into waveforms. Taking inspiration from Differentiable Digital Signal …

Time series imputation is a fundamental task in understanding sequential data. Existing
methods either rely on recurrent models that suffer heavily from error compounding or fail to …

While synthesizers have become commonplace in music production, many users find it
difficult to control the parameters of a synthesizer to create a sound as they intended. In …

Recent neural-based synthesis models have achieved impressive results for musical
instrument sound generation. In particular, the Differentiable Digital Signal Processing …

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 …

We propose GANStrument, a generative adversarial model for instrument sound synthesis.
Given a one-shot sound as input, it is able to generate pitched instrument sounds that reflect …

This paper presents DiffMoog-a differentiable modular synthesizer with a comprehensive set
of modules typically found in commercial instruments. Being differentiable, it allows …

Chapters “Finding Spurious Correlations with Function-Semantic Contrast Analysis” and
“Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine …