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Found 3 papers, 1 papers with code
Sample Rate Independent Recurrent Neural Networks for Audio Effects Processing
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 products.
Differentiable All-pole Filters for Time-varying Audio Systems
Infinite impulse response filters are an essential building block of many time-varying audio systems, such as audio effects and synthesisers.
Differentiable Grey-box Modelling of Phaser Effects using Frame-based Spectral Processing
The frame duration is an important hyper-parameter of the proposed model, so an investigation was carried out into its effect on model accuracy.
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