Music has the added complexity of being smeared across time, which I think will be a lot harder to crack.
It would be fun though, to pass a Garth Brookes track through a Deathspell Omega filter.
Music has the added complexity of being smeared across time, which I think will be a lot harder to crack.
It would be fun though, to pass a Garth Brookes track through a Deathspell Omega filter.
But images are smeared across space in two dimensions. That's one dimension more than music.
So it appears that dimensionality is just not a good way of explaining the difficulty here. I'd say the neural style technique was developed specifically for images, and it's becoming apparent that we can't simply apply it to sound and get good results. Maybe by working something similar from the ground up.
(In humans we have oscillating hairs that perform an analog frequency extraction, while with computers you'd use a fourier transform to do it mathematically.)
Images have (r,g,b) as a function of (x,y).
Edit: or (h,s,v), or however you slice the color 3d space.