[d--b]

I completely agree. You could even tell from the picture of the spectrum above that the "reconstruction" was not a success. The spectrum looks like it's been reconstructed by a flat extrapolation of the amplitude of the last frequency known.

This is exactly the kind of projects where deep models should excel. Something's not working properly here.

[jhetherly]

hey, author here

Thanks for the feedback.

"Something's not working properly here" - I disagree. The model will overtrain (i.e. perfectly reconstruct the original waveforms of a small training set), which indicates it's capable of learning the necessary transformation. The problem lies in the limited amount of training time I had. To reiterate from an earlier comment, I trained on only 10 epochs, while the paper this is base on claimed to train on 400. Much more training is required for this model to generalize well without degrading the signal-to-noise ratio.

[d--b]

Hey thanks for the comment. That makes sense, I'd be interested in hearing the results with more training. This could work well and have a good range of applications.