GuitarLSTM

Deep learning models for guitar amp/pedal emulation using LSTM with Keras
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commit 47ce6a1e84fee72adaa54d1d6c8958b8ac66daea
parent 753fe9c2f5519447a7c9ed5b19596a1af9751314
Author: Keith Bloemer <32459398+GuitarML@users.noreply.github.com>
Date:   Sat,  5 Dec 2020 09:06:52 -0600

Merge pull request #2 from mishushakov/patch-1

Changed backslashes
Diffstat:
MREADME.md | 4++--
1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md @@ -39,12 +39,12 @@ Must be single channel, 44.1 kHz, FP32 wav data (not int16) # Specify input wav file, output wav file, and desired model name. # Output will be saved to "models/out_model_name/" folder. -python train.py data\ts9_test1_in_FP32.wav data\ts9_test1_out_FP32.wav out_model_name +python train.py data/ts9_test1_in_FP32.wav data/ts9_test1_out_FP32.wav out_model_name # Run prediction on target wav file # Specify input file, desired output file, and model path -python predict.py data\ts9_test1_in_FP32.wav output models\ts9_model.h5 +python predict.py data/ts9_test1_in_FP32.wav output models/ts9_model.h5 ``` **Training parameters**: