Analog is the enemy of signal purity. Again, most music is recorded digitally. Keeping it there until the final conversion to analog at the listeners DAC is the only best way to deal with it. A number can not be distorted. It can only be changed.
Digital Signal purity is not the ultimate goal in acoustics...
Signal purity is an abstraction...Not the acoustic territory ... The ears brain is not a mere digital computer ...
The analog measures Choueiri takes are not secondary , they are the core of the thing for using his filters for specific ears/brain ...
About analog, and the superiority of analog computing in the next decade read that( i underline my point ) :
https://iopscience.iop.org/article/10.1088/2634-4386/ad0fec/pdf
«Deep learning computers are revolutionizing human
civilization optimizing user-conceived solution paths
accurately, figuring out the shortest path by extensive training
to reach the expected solution [1]. Hallmarks are switches and
circuits. Demands are increasing speed and resources by
compromising nature with enormous toxic waste. The next
revolution would bring computers that synthesize new deep
networks, invent learning protocols in a single shot or without
training. Hallmarks would be new data structure, software
free, circuit free, fully analog, reusable hardware adaptive to
changing environment [2]. Demands would be fixing the
computing speed and resources irrespective of complexity
while compromising the user’s control. Realizing all, we
present organic nested deep learning network, ON2.»
This Indian genius is the first to prove the quantum properties conservation and transmission in microtubules.. He work in japan laboratory and is the main co worker with Hameroff the microtubules specialist and co-worker with Penrose Nobel physics prize and the creator of the ORCH model of consciousness ,,
He wrote a book astonishing one in 2020 , one of the deepest and more revolutionary i ever read..."nanobrain" ...
Then it is not amateurish speculation ... Go see his site and youtube channels and twitter ... Geniuses are not a crowd ...
