5 papers · 1 filter
Gradient-based Optimisation of Modulation Effects
Alistair Carson, Alec Wright, Stefan Bilbao
Modulation effects such as phasers, flangers and chorus effects are heavily used in conjunction with the electric guitar. Machine learning based emulation of analog modulation unit…
Resampling Filter Design for Multirate Neural Audio Effect Processing
Alistair Carson, Vesa Välimäki, Alec Wright +1
Neural networks have become ubiquitous in audio effects modelling, especially for guitar amplifiers and distortion pedals. One limitation of such models is that the sample rate of…
Anti-aliasing of neural distortion effects via model fine tuning
Alistair Carson, Alec Wright, Stefan Bilbao
Neural networks have become ubiquitous with guitar distortion effects modelling in recent years. Despite their ability to yield perceptually convincing models, they are susceptible…
Interpolation Filter Design for Sample Rate Independent Audio Effect RNNs
Alistair Carson, Alec Wright, Stefan Bilbao
Recurrent neural networks (RNNs) are effective at emulating the non-linear, stateful behavior of analog guitar amplifiers and distortion effects. Unlike the case of direct circuit…
Open-Amp: Synthetic Data Framework for Audio Effect Foundation Models
Alec Wright, Alistair Carson, Lauri Juvela
This paper introduces Open-Amp, a synthetic data framework for generating large-scale and diverse audio effects data. Audio effects are relevant to many musical audio processing an…