Path: utzoo!attcan!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!wuarchive!sdd.hp.com!news.cs.indiana.edu!msi.umn.edu!cs.umn.edu!mmm.serc.3m.com!news From: schultz@halley.tmc.edu (John C. Schultz) Newsgroups: comp.dsp Subject: Re: Speech recognition: state-of-the-art ? Keywords: specch recognition Message-ID: <1990Dec19.215611.10659@mmm.serc.3m.com> Date: 19 Dec 90 21:56:11 GMT References: <1990Dec17.202616.3021@quagga.ru.ac.za> Organization: Minnesota Mining & Manufacturing Lines: 25 In article <1990Dec17.202616.3021@quagga.ru.ac.za> csirpd@quagga.ru.ac.za (Paul Ducklin) writes: > > * for a specific voice, and a non-mega$ desktop machine, what's > a good recognition vocabulary? 5000 words? 10000 words? I > > * for "generic voice" (eg: all American-speaking females), what is > a good vocabulary? What sort of reliability is attainable? > > * what's good vis-a-vis "natural" or continuous speech? How > capable are recognition systems at handling speech without > staccato-type interword pauses? I would like to add to this list of questions * How reliable is voice recognition in noisy environments with respect to vocabulary size? For example if the system only needs to recognize 50 or so words, is that more robust than a 5000 word system? How much more reliable? Don't know answers would be preferable to wrong answers. -- John C. Schultz EMAIL: schultz@halley.est.3m.com 3M Company, Building 518-01-1 WRK: +1 (612) 733-4047 1865 Woodlane Drive, Dock 4, Woodbury, MN 55125