A bunch of scriptable audio transforms based on the torchaudio backend, embeddable in Python/C++ with torchscript for real-time purposes. Available transforms:

git clone https://github.com/domkirke/acids_transforms.git
cd acids_transforms
pip install -r requirements.txt
python3 setup.py install

Transforms in acids_transforms are nn.Module with a forward function, and an optional invert functions if the transform is invertible. Besides, some of them can also be scripted to TorchScript. They can also be combined using the __add__ operator, allowing to chain several transforms :

import torch, torchaudio
from acids_transforms.transforms import *

x, sr = torchaudio.load("test/source_files/additive.wav")

transform = Mono() \
    + DGT(sr=sr, n_fft = 1024, hop_length = 256, inversion_mode="pghi") \
    + Magnitude(mel=True, norm="unipolar", contrast="log1p")

print("invertible : ", transform.invertible)
print("scriptable : ", transform.scriptable)
if transform.scriptable:
    transform = torch.jit.script(transform)

# scale normalization
transform.scale_data(x)
# test the transform!
x_transformed = transform(x)
x_inverted = transform.invert(x_transformed)
torchaudio.save("additive_pghi.wav", x_inverted, sample_rate=sr)

• on real-time PGHI : while pghi is usable with RealtimeDGT, there are some known issues with a stream use. This will come very soon!
• this library is still experimental and changes very often. a first "sure" release will come soon!