SmartGuitarAmp — a guitar plugin created using JUCE that utilizes neural network models to emulate real equipment.
This plugin uses the WaveNet model to recreate the sound of real equipment. The current version simulates a small tube amplifier, with the ability to add additional options in the future. There are two channels: CLEAN, which is equivalent to the clean channel on the amplifier, and LEAD — a channel for distorted sound. Gain and EQ controls have been added to modulate the simulated sound.
You can also create your own models and upload them to SmartGuitarAmp. Training is done using PyTorch on pre-recorded .wav samples.
Source: linux.org.ru
