NeuralPi

Raspberry Pi guitar pedal using neural networks to emulate real amps and effects
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commit 41658cecb0031e79602555896574db36d6412162
parent 9349fa672b50db49b62445297635d40bf62305b1
Author: Keith Bloemer <32459398+GuitarML@users.noreply.github.com>
Date:   Wed, 26 May 2021 08:16:17 -0500

Update README.md
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MREADME.md | 2++
1 file changed, 2 insertions(+), 0 deletions(-)

diff --git a/README.md b/README.md @@ -46,6 +46,8 @@ Currently, the NeuralPi plugin running on Elk OS has no user controls. It runs a Elk Audio OS also supports physical controls through [Sensei](https://github.com/elk-audio/sensei). Gain/Volume and EQ knobs can be added, as well as a LCD screen for selecting different models. One could build an actual guitar pedal with NeuralPi and any number of other digital effects and controls. +While running PyTorch locally on the Raspberry Pi might be a stretch, it is fully capable of recording high quality audio with the HiFiBerry hat. Implement a capture feature by automating the recording of input/output samples, pushing to remote computer for training, then updating the Pi with the newly trained model. + ## Info The neural network is a re-creation of the LSTM inference model from [Real-Time Guitar Amplifier Emulation with Deep Learning](https://www.mdpi.com/2076-3417/10/3/766/htm)