Xref: utzoo comp.windows.misc:907 comp.sys.next:1118 comp.sys.mac:24614 comp.cog-eng:802 Path: utzoo!utgpu!watmath!clyde!att!osu-cis!tut.cis.ohio-state.edu!unmvax!pprg.unm.edu!hc!ames!amdahl!pyramid!leadsv!laic!darin From: darin@laic.UUCP (Darin Johnson) Newsgroups: comp.windows.misc,comp.sys.next,comp.sys.mac,comp.cog-eng Subject: Re: One Step... (long!) Message-ID: <397@laic.UUCP> Date: 3 Jan 89 03:34:10 GMT References: <263@gloom.UUCP> <908@quintus.UUCP> <4524@xenna.Encore.COM> <23040@apple.Apple.COM> Reply-To: darin@laic.UUCP (Darin Johnson) Organization: Lockheed AI Center, Menlo Park Lines: 20 In article <23040@apple.Apple.COM> malcolm@Apple.COM (Malcolm Slaney) writes: >On the other hand....human like speech recognition has been postulated to >take on the order of a Tera Flop by the IBM people. The current problems >remaining to be solved (other than processor power) are a bunch of front end >issues (like noise, multiple speakers speaker adaptation) AND incorporating >natural language so that homonyms and missing works can be filled in. This is if you use the standard Von-Neumann architecture, standard algorithm's etc. I saw a setup awhile back at UCSD that did speach recognition using neural networks (P.D.P. for you purists). Although I never actually saw it run (only graphics output), it was supposed to be able to 'decode' sentences in roughly 1/4 real time. Presumably, this was with ideal conditions, short sentences, etc. With a hardware neural net, real time speach recognition is quite possible with less than a super-computer. You wouldn't even have to devote an entire machine room to it. -- Darin Johnson (leadsv!laic!darin@pyramid.pyramid.com) "You can't fight in here! This is the war room.."