In response to @Maxxim_M comments.
So where would you start, @Maxxim_M. Given your earlier enthusiasm, I don’t think the answer is “I wouldn’t” but perhaps it is.
I’ve been operating on the assumption that if we could take the 9 data points per ear and both a) interpolate within the tested range and b) extrapolate to expand the range, that we could create a reasonable approximation of a curve to use as a starting point.
Once we have the curve, determining offset directionality (peak vs. dip) and magnitude is clearly not as simple as adding or subtracting decibels to get to a target. I get that. Intuitively, and given your clarification of the non linearity of hearing models, it seems that a non-linear adjustment based on deviation from the mean may be starting point. Maybe.
So the first problem is interpolation and I was going to play with spline interpolation.
The second problem is extrapolation and you’ve suggested that simply extending the edges out might have side effects or, worse, do damage.
Any thoughts on these? Suggestions for approaches?
The third problem becomes determining offsets and I guess the simple question there is “If we’ve been successful at the solving the interpolation and extrapolation issues, and we’ve produced a reasonable approximation of a curve, can that curve be used to generate effective vectors and, if so, how?”
You asked for questions…there they are
If you’re already tired of this, I will absolutely understand. I appreciate your input to this point.