audtorch.transforms.functional

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 numpy.array as inputs, not torch.Tensor.

crop

pad

replicate

downmix

upmix

additive_mix

normalize

stft

istft