Well, there's almost no end of applications that wouldn't be improved or made usable by a hundred-fold increase in CPU. But things that aren't currently possible for commercial or domestic use might be; In processing, blind source separation using dictionary attack to find optimal sparse decomposition; also similar to deconvolution or upmixing without prior models. In modelling; for wavefield modelling or lumped masses with a large number of nodes. In analysis; articulatory speech models to do speaker independent recognition.
The practical outcomes of the first group of things are basically being able to record an orchestra with a stero mic, pull out and process individual instruments after the fact, change the hall acoustics and remix the recording. The latter stuff is more obvious, raytracing reverbs and whatnot.
But being unable to brute force these things leaves the quest to understand deeper and find optimisation tricks to change the algorithm/approach, not matters of scale. When the growth order of a method is wrong throwing a room full of GPU's at it only gives you a temporary lead.
On Sun, Sep 16, 2012 at 04:26:26PM +0900, i go bananas wrote:
yeah, with this sort of thing...
Miller was saying the other day how the original phase vocoder patch required $35000 worth of hardware (or whatever the actual figure was...)
So i was just wondering what sort of audio things are round at the moment that can only be achieved with well beyond ordinary hardware???
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