laxu
Rock Star
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Neural DSP uses some randomization to pick the ranges between the extremes for each control, and this seems to work well to train the neural network without having e.g 10^number of knobs permutations.I may be totally out of my understanding here, but for Tonex or NAM would not, say, 1024 different knob captures, take at least something like ~90 <-> 120 hours of just individual capturing time before even doing the interpolation ? ... that's like around 8 hours a day for 12 <-> 15 days of just capturing ..... anyone that did that would go insane
So to extrapolate ..... if you have a basic Amp with just 6 x knobs ie: G / B / M / T / P / MV .... to get roughly 1024 capture points across 6 differnet interacting knobs, each knob can only be captured at just over 3 [ 3.2 ] distinct settings .... so that leaves an awful lot of very large "gaps" for the interpolation to be right and accurate in "filling in" ?)
Again, my apologies up front if my math's is fucked up.
Similarly their Tina system is for automating this so someone doesn't need to sit there turning knobs. But still, there's really very little evidence that this is working for them when the QC hasn't had new amp models in ages that are not just plugin conversions.