Em sáb, 13 de jul de 2019 às 04:36, matthew brandi <[email protected]> escreveu:
> On 13/07/2019 08:11, Alexandre Torres Porres wrote: > > the [adsr~] object, so far, is only linear, but I'm hoping to offer a > hardcoded exponential setting for it, but not sure yet which one, hence my > mail to the list > > > Dear Alexandre > > Wouldn’t the “classical” approach be convex attack (0 < pow < 1) and > concave decay and release (pow > 1)? > if you say so, I'm buying :) > If so, you would be looking at a set of hardcoded exponents, not a single > exponent for all segments, right? > yup, I meant a set > FWIW, if you have the configurable [envgen~], I would make life easy for > yourself and leave [adsr~] as linear. > > Best > I see, but I also think a preconfigured [adsr~] makes things easier if that's all you want. I actually know of two other adsr envelopes out there for Pd, both non linear, they are: bsaylor/aenv~ and creb/eadsr~ - both are hardcoded. I haven't checked them yet, I hope I can figure it out by looking at the code, since the documentation doesn't say much. cheers >
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