[cesaref]

I think this would be very possible - there was quite a bit of discussion of using NN techniques for modelling fx discussed at DAFx2019 (http://dafx2019.bcu.ac.uk/). There are a number of papers discussing different techniques in the paper archive.

Many of the techniques discussed were variations on image processing - transforming the input to the frequency domain then converting this to an image, and applying standard techniques to transform the image, then back to the time domain. There are many compromises with this approach (loosing phase information for example) but with a suitable overlap/add the results were better than I expected, and certainly there's room for further investigation to see if there's useful stuff in there.

Another time domain approach that was applicable to your amplifier model question was an attempt to determine hidden variables in a circuit. Basically, the circuit under test is examined, and rather that build a spice model (which can be laborious) the technique was to expose the interval voltages following components with memory (so capacitors for example). These outputs were included in the NN training model, and so in effect the normally hidden internal state was exposed and allowed for a very good approximation.

Here's the paper:

http://dafx2019.bcu.ac.uk/papers/DAFx2019_paper_42.pdf

[Tade0]

Thank you very much.

Do you know if there will be a DAFx2020? That would make it the first conference in years that I would really want to attend.

[cesaref]

Unfortunately not, it's been delayed. DAFx2020 was due to be in Vienna, and i'm assuming they are still planning on being there, but it's scheduled to be in 2021.

It's a great conference, well worth attending. It's heavy on the maths, but that's DSP for you!