Yes, and I'll try to make it more explicit for people saying that sound is also two-dimensional. Before any analysis, sound is one-dimensional, that is unless y

Yes, and I'll try to make it more explicit for people saying that sound is also two-dimensional. Before any analysis, sound is one-dimensional, that is unless you count stereo channels to represent an additional dimension, but then it equally makes sense to represent colors as an additional dimension in images. Frequencies appear when you do a Fourier transform - but this transform is equally applicable to images as it is to sound, so again images stay at least one dimension ahead of sound. 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.