If there, by chance, happens to be a feature in the noise that "catches the ear" and creates a sort of (possibly first subconscious) memory, then the choo-choo effect will be more audible as that feature can be more easily recognized again, reinforcing the memory. I generated 10 seconds of Gaussian white noise and can consistently recognize a certain short rhythmic feature from it. And, minutes after stopping playback, I can still recall that memory in my mind. It's even more easy to recognize the periodicity if you train your ears to recognize a shorter piece before playing back the whole (10 second or so) loop. So I think it boils down to two things: features and learning. Learning can also turn "non-features" into "features".
Sampo's test should be carried out multiple times to gather statistics, and because repetition will aid in reinforcement of the memory, also the number of repetitions should be controlled or recorded. How about "tap to the rhythm of it"? Feature-stripped noise should work better in some applications than truly random noise. Perhaps multi-band compression could be used to level it out. -olli On Thu, May 8, 2014 at 9:56 AM, Stefan Stenzel <stefan.sten...@waldorfmusic.de> wrote: > As someone already pointed out, spend an evening to hack a website for this. > Otherwise I just don’t feel like it’s worth the hassle, this is why-oh-why I > don’t. > > Stefan > > On 08 May 2014, at 7:25 , Sampo Syreeni <de...@iki.fi> wrote: > >> Yet why-oh-why doesn't anybody just pop up their Audacity and a few >> megabytes of randomness, the way I originally asked? Because the stuff I'm >> talking > > > -- > dupswapdrop -- the music-dsp mailing list and website: > subscription info, FAQ, source code archive, list archive, book reviews, dsp > links > http://music.columbia.edu/cmc/music-dsp > http://music.columbia.edu/mailman/listinfo/music-dsp -- dupswapdrop -- the music-dsp mailing list and website: subscription info, FAQ, source code archive, list archive, book reviews, dsp links http://music.columbia.edu/cmc/music-dsp http://music.columbia.edu/mailman/listinfo/music-dsp
