GuitarLSTM

Deep learning models for guitar amp/pedal emulation using LSTM with Keras
Log | Files | Refs | README

commit 73e74909c802abfd3016a593aa76115c5d9cb486
parent d72f5e1c35813f0242c94236c363d707c369cf63
Author: Keith Bloemer <32459398+GuitarML@users.noreply.github.com>
Date:   Fri,  4 Dec 2020 13:27:30 -0600

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

diff --git a/README.md b/README.md @@ -2,7 +2,7 @@ GuitarLSTM trains guitar effect/amp neural network models for processing on wav files. Record input/output samples from the target guitar amplifier or -pedal, then use this code to create a digital deep learning model of the +pedal, then use this code to create a deep learning model of the sound. The model can then be applied to other wav files to make it sound like the amp or effect. This code uses Tensorflow/Keras.