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Re: Universal Translator

From: Mark Billinghurst <>
Date: Wed, 2 Dec 1998 18:17:16 -0800 (PST)

Alex Waibel at CMU has built computer vision and neural net based lip
reading software. You can read about it at
http://www.is.cs.cmu.edu/ISL.multimodal.lips.html

There are several other groups doing very good work in vision based
lipreading. These groups are mostly trying to use lipreading as another
channel to improve speech recognition.

See http://www.cs.berkeley.edu/~bregler/vaspeech.html for another site
with more information..

	Mark

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Mark Billinghurst 		| Human Interface Technology Laboratory
	| University of Washington, Box 352-142
fax: +1-206-543-5380		| Seattle, WA 98195
On Wed, 2 Dec 1998, Tristram W. Metcalfe III wrote:

> Lets see, lipreading was, HAL 9000 two years from now,,
> 
> The realities of reading lips are an enormous task of guessing up to 1 out of 17
> possibilities per consonant or vowel X the real time rate of the phoneme stream. This
> requires knowledge of the context and potential words, to begin closing the loop on what is
> actually happening inside the mouth.
> 
> When that soft ware is condensed down from its vapor, I agree it would be nice, maybe it's
> really a project moving ahead somewhere, anyone know?.
> 
> A thread many months ago touched on some interior mouth shape sensing and sending antenea,,
> oops sorry,,  that only works on the user's mouth, not one across the room.
> However, it certainly is worth exploring abilities to improve communication across the room
> or table.
> 
> Brenden Tuck wrote:
> 
> > Hmm..this thread brings to mind an interesting experiment....
> >
> > I wonder how hard it be to teach a wearable how to "lip-read."
> >
> > Instead of using voice recognition, use a camera and
> > modified face recognition algorythms.
> >
> > It would be more processor/hardware intensive, but
> > I bet the data sets between different people using the same
> > language wouldn't be as wildly different as their vocal patterns
> > would be.  People tend to communicate facially in very similar ways.
> >
> > Facial hair would be a problem, most likely, but other things like
> > lipstick would provide even higher contrast for the muscle patterns.
> >
> > --friar
> >
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> 
> 
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