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by Scene_Cast2 2236 days ago
Not quite. As long as the knobs make consistent changes, just feed some large amount of tests and the model should generalize (smartly interpolate) the rest.

What I do have a problem with is that if the pedal is already implemented digitally, then all the human interpretability, along with the classic DSP machinery, is thrown out the window. A better approach would be to build the pedal via a differentiable programming language and then try to gradient descent toward some analog "can't get this juicy tube sound digitally" variant.
1 comments
ben7799 2236 days ago
The knobs actually don't behave linearly on a tube screamer. Even the "tone" knob (EQ) doesn't behave at all linearly like you might expect out of consumer audio gear. Tube Screamers have an S-curve potentiometer in use for that knob.

That would be part of the problem with this approach.

Also with this approach you pretty much have to train the model with a near infinite collection of guitars in front of the model and a near infinite number of other effects turned on and off in front of the model.

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Scene_Cast2 2236 days ago
The knobs don't have to be linear at all, just differentiable - that's the beauty of ML.

As for the collection of guitars and samples - not necessarily, it would depend on how you set up the training.

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