6 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…
Differentiable All-pole Filters for Time-varying Audio Systems
Chin-Yun Yu, Christopher Mitcheltree, Alistair Carson +3
Infinite impulse response filters are an essential building block of many time-varying audio systems, such as audio effects and synthesisers. However, their recursive structure imp…
Sample Rate Independent Recurrent Neural Networks for Audio Effects Processing
Alistair Carson, Alec Wright, Jatin Chowdhury +2
In recent years, machine learning approaches to modelling guitar amplifiers and effects pedals have been widely investigated and have become standard practice in some consumer prod…