About the variable 'input_audio_corrupt' in lines 240-241, isn't it target_audio_corrupt?

[taehoGit]

DeepAFx-ST/deepafx_st/data/dataset.py

Lines 229 to 246 in 49bd0c8

	# ------------------------ Target audio ----------------------
	# use the same augmented audio clip, add different random EQ and compressor
	target_audio_corrupt = input_audio_aug.clone()
	# apply frequency and dynamic range corrpution (expander)
	if self.freq_corrupt and torch.rand(1).sum() < 0.75:
	target_audio_corrupt = augmentations.frequency_corruption(
	[target_audio_corrupt], self.sample_rate
	)[0]
	# peak normalize again before passing through dynamic range compressor
	input_audio_corrupt /= input_audio_corrupt.abs().max()
	input_audio_corrupt *= 10 ** (-12.0 / 20) # with min 3 dBFS headroom
	if self.drc_corrupt and torch.rand(1).sum() < 0.75:
	target_audio_corrupt = augmentations.dynamic_range_compression(
	[target_audio_corrupt], self.sample_rate
	)[0]

[csteinmetz1]

Hi @taehoGit, this does look like a bug, however it likely has a minimal effect. There may be some different behavior between the dynamics of the input and the target, but style transfer training should still function. Thanks for pointing it out.