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From: jpdres10@usl-pc.UUCP (Green Eric Lee)
Newsgroups: comp.ai
Subject: Re: Practical effects of AI (speech)
Message-ID: <244@usl-pc.UUCP>
Date: Sun, 8-Nov-87 20:53:52 EST
Article-I.D.: usl-pc.244
Posted: Sun Nov  8 20:53:52 1987
Date-Received: Sun, 15-Nov-87 11:29:39 EST
References: <12@gollum.Columbia.NCR.COM> <267@PT.CS.CMU.EDU>
Organization: Univ. of Southwestern La., Lafayette
Lines: 29
Keywords: ai future effects

In message <267@PT.CS.CMU.EDU>, kfl@SPEECH2.CS.CMU.EDU (Kai-Fu Lee) says:
>In article <12@gollum.Columbia.NCR.COM>, rolandi@gollum.Columbia.NCR.COM (rolandi) writes:
>> It would seem to me that the single greatest practical advancement for
>> AI will be in speaker independent, continuous speech recognition. This
>(3) If this product were to materialize, it is far from clear that it
>    would be an advancement for AI.  At present, the most promising 
>    techniques are based on stochastic modeling, pattern recognition, 
>    information theory, signal processing, auditory modeling, etc..
>    So far, very few traditional AI techniques are used in, or work well 
>    for speech recognition.  

Very few traditional AI techniques have resulted in much at all :-)
(sorry, I couldn't help it).

But seriously, considering that sciences such as physics and
mathematics have been ongoing for centuries, can we REALLY say that AI
has "traditional techniques"? Certainly there is a large library of
techniques available to AI researchers today, but 30 years is hardly
a long enough time to call something "traditional". Remembering how
going beyond the "traditional" resulted in many breakthroughs in
mathematics and physics, saying that "it is far from clear that it
would be an advancement for AI" presupposes that one defines AI as
"that science which uses certain traditional methods", which, I
submit, is false.

--
Eric Green  elg@usl.CSNET       from BEYOND nowhere:
{ihnp4,cbosgd}!killer!elg,      P.O. Box 92191, Lafayette, LA 70509
{ut-sally,killer}!usl!elg     "there's someone in my head, but it's not me..."