Based on many recent discussions around AudioGuide and how things are implemented there I got to experimenting with linear regression on every frame of a loudness analysis. I go into a lot more detail in this post in timeness thread, but I wanted to make a separate thread to act as a feature request.
There are more examples in the other thread, but here are a couple just to show what I mean.
Pretty similar results here:
Here we see a bit more of the difference:
(edit: the results aren’t always this dramatic, turns out I had messed up some of the maths for the derivative, but they generally are better, and you get the benefit of a corresponding r2 value)
Although I didn’t implement in my Max version (yet), there is the r2 output, which can also act as a kind of “slope confidence”, which we also don’t get from the derivatives.
So it would be great to see linear regression as one of the statistics available in
(I’ve implemented it in Max already but it’s a bit faffy to code, not to mention the workflow problems of dumping the contents of a
buffer~ out into list-land, only to shove it all back into a
buffer~ and then onto a
fluid.dataset~. And then having to do this per descriptor that you want the values for…)