However, an advantage of dealing with visual input is that so much of human
language deals with visuospatial metaphors.  So, as compared to a
soley-sound-focused system, a vision-savvy AGI perceptual subsystem is
substantially more useful for helping an AGI system learn human language...

-- Ben

> -----Original Message-----
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> Behalf Of J. Andrew Rogers
> Sent: Thursday, October 14, 2004 6:59 PM
> To: [EMAIL PROTECTED]
> Subject: Re: [agi] Sensory Front-End Design Specs
>
>
>
> > Last time I checked, speech recognition still performed badly.
> > I guess the audio "resolution" has to be drastically reduced
> > just like in video.
>
>
> The problem with speech recognition has nothing to do with the quality
> of the audio source, but the algorithms trying to analyze the data
> given.  The algorithms currently used for handling speech patterns are
> brittle, same as any other common current "machine intelligence"
> technology.  A good AGI design won't have this problem.  Humans have no
> problem understanding speech that has been run through the same kind of
> signal processing I described above; the point of the low-resolution is
> so that the designs do not have to worry about the volume of data.  In
> other words, I was building generic data flow reduction into the design
> since it needs to be done anyway and little will be lost by it.  Raw Red
> Book is overkill.
>
> You can do "interesting" and useful things with AGI that are less
> complex to solve and easier on the hardware resources when dealing with
> sound rather than video.  To me, it would seem like a more logical
> progression.  You can work on video after you have the simpler problem
> of audio figured out.  If you can't solve audio, I very much doubt you
> will solve video.
>
>
> j. andrew rogers
>
>
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