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.vscode
.vscode
 
 
audio_samples
audio_samples
 
 
dx7 patches
dx7 patches
 
 
evaluation
evaluation
 
 
evaluation4op
evaluation4op
 
 
evaluation_4op_env
evaluation_4op_env
 
 
evaluation_6op
evaluation_6op
 
 
evaluation_6op_200
evaluation_6op_200
 
 
evaluation_gen_final
evaluation_gen_final
 
 
functions
functions
 
 
images
images
 
 
nvvm/test nvvm thing/libdevice
nvvm/test nvvm thing/libdevice
 
 
saved_models
saved_models
 
 
spiegelib
spiegelib
 
 
synlib
synlib
 
 
synth_params
synth_params
 
 
vsts/old vst3
vsts/old vst3
 
 
.gitignore
.gitignore
 
 
DX7 V.vst3
DX7 V.vst3
 
 
Dexed.clap
Dexed.clap
 
 
Dexed.dll
Dexed.dll
 
 
Dexed.so
Dexed.so
 
 
Dexed.vst3
Dexed.vst3
 
 
Magical8bitPlug2.vst3
Magical8bitPlug2.vst3
 
 
README.md
README.md
 
 
RoughRider3.vst3
RoughRider3.vst3
 
 
ValhallaSupermassive.vst3
ValhallaSupermassive.vst3
 
 
accuracy.txt
accuracy.txt
 
 
algorithm.py
algorithm.py
 
 
algos copy.txt
algos copy.txt
 
 
algos.txt
algos.txt
 
 
cnn model.txt
cnn model.txt
 
 
compact.bin
compact.bin
 
 
conv6_eval.png
conv6_eval.png
 
 
conv6_loss.png
conv6_loss.png
 
 
conv6_loss_37epoch.png
conv6_loss_37epoch.png
 
 
conv6_loss_improved.png
conv6_loss_improved.png
 
 
dawdreamer dexed params.txt
dawdreamer dexed params.txt
 
 
dawdreamer test.py
dawdreamer test.py
 
 
dexed parameters init.txt
dexed parameters init.txt
 
 
dexed parameters.txt
dexed parameters.txt
 
 
dx7 v output.wav
dx7 v output.wav
 
 
dx7 v parameters.txt
dx7 v parameters.txt
 
 
dx7 v test.py
dx7 v test.py
 
 
dx7-sysex-format.txt
dx7-sysex-format.txt
 
 
epiano1_5.wav
epiano1_5.wav
 
 
ga_2op.png
ga_2op.png
 
 
gameplan.txt
gameplan.txt
 
 
helm.vst3
helm.vst3
 
 
helm64.vst3
helm64.vst3
 
 
init_state
init_state
 
 
loss.txt
loss.txt
 
 
ml-fm-final.ipynb
ml-fm-final.ipynb
 
 
ml-fm.ipynb
ml-fm.ipynb
 
 
my_song.wav
my_song.wav
 
 
names.txt
names.txt
 
 
ngsa_samples_hist.png
ngsa_samples_hist.png
 
 
nsga_4op.png
nsga_4op.png
 
 
nsga_6op_env.png
nsga_6op_env.png
 
 
nsga_samples_euclid_hist.png
nsga_samples_euclid_hist.png
 
 
nsga_samples_hist.png
nsga_samples_hist.png
 
 
output.wav
output.wav
 
 
pc issue.txt
pc issue.txt
 
 
pedalboard_test.py
pedalboard_test.py
 
 
python interpreter path.txt
python interpreter path.txt
 
 
simple_audio.ipynb
simple_audio.ipynb
 
 
sine_demo.wav
sine_demo.wav
 
 
sort_wavs.py
sort_wavs.py
 
 
synlib001_01.wav
synlib001_01.wav
 
 
val_accuracy.txt
val_accuracy.txt
 
 
val_loss.txt
val_loss.txt
 
 

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ml-fm

Repository for code used in Machine Learning for Fm Audio Resynthesis, my Final Year Project for electrical engineering at University of Newcastle

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Repository for code used in Machine Learning for Fm Audio Resynthesis, my Final Year Project for electrical engineering at University of Newcastle

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