NeuralPi

Raspberry Pi guitar pedal using neural networks to emulate real amps and effects
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commit 282a57b742a0f250d7aa03b0573e6eb9f889a75b
parent c23d785968d6a06856f53a21a2f5198e4db5ccb8
Author: Keith Bloemer <32459398+GuitarML@users.noreply.github.com>
Date:   Mon, 24 May 2021 10:38:10 -0500

Update README.md
Diffstat:
MREADME.md | 2+-
1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md @@ -47,7 +47,7 @@ Elk Audio OS also supports physical controls through [Sensei](https://github.com ## 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) -The [Automated-GuitarAmpModelling](https://github.com/Alec-Wright/Automated-GuitarAmpModelling) project was used to train the .json models. +The [Automated-GuitarAmpModelling](https://github.com/Alec-Wright/Automated-GuitarAmpModelling) project was used to train the .json models.<br> IMPORTANT: When training models for NeuralPi, ensure that a LSTM size of 20 is used. NeuralPi is optimized to run models of this size, and other sizes are not currently compatible. The plugin uses [RTNeural](https://github.com/jatinchowdhury18/RTNeural), which is a highly optimized neural net inference engine intended for audio applications.