The goal of the transform functionals is to provide functions that work independent on the dimensions of the input signal and can be used easily to create the actual transforms.
Note
All of the transforms work currently only with :pynumpy.array as inputs, not :pytorch.Tensor.
audtorch.transforms.functional
crop
pad
replicate
downmix
upmix
additive_mix
mask
normalize
standardize
stft
istft