This repository was archived by the owner on Oct 31, 2023. It is now read-only.

This repository was archived by the owner on Oct 31, 2023. It is now read-only.

Question about the implemented of SpectralConvergengeLoss #150

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Does the norm calculation include the batch dimension is reasonable, or should be calculated for each utterance then sum/mean the losses across batch dimension?

denoiser/denoiser/stft_loss.py

Line 51 in f98f16c

return torch.norm(y_mag - x_mag, p="fro") / torch.norm(y_mag, p="fro")

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