I'm playing with an idea that might become a project: 1. extract phonemes from a text, 2. sort by frequency, 3. then wander through those with Perlin noise. The results are kind of pleasing and at least mostly pronounceable:

Follow

If you blur your eyes I think the noise pattern is pretty evident. I may want to try using the phoneme noise to look for best fit words.

Another idea would be to sort the phonemes by similarity, which gets closer to the intent of adjacency in noise(), but I think that would be less likely to resolve back into words.

Sign in to participate in the conversation
Assemblag.es

assemblag.es is a Mastodon instance for people interested in thinking creatively and critically about technology, in the broadest sense. The only requirement is that you keep to the code of conduct! Note: we've paused new signups for a few days while we deal with the #twittermigration influx - please do request an invite, but be aware that for now functions more like a 'waiting list' than a knock on the door, until our numbers stabilise again :-)