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DTSTART:20210314T030000
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DTSTAMP:20210425T180020Z
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DTSTART;TZID=US/Mountain:20210422T180000
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DESCRIPTION:Pikes Peak Computer Society Offers:\n\nSpeech Recognition: An H
 istorical Perspective on the Business and Technology\n\nAgenda: \nAutomate
 d speech recognition has gone from clunky demos and wild dreams in the 195
 0s to a ubiquitous productivity tool today. We’ll sketch this evolution 
 and growth\, highlighting some key milestones along the way. In doing so\,
  we’ll explore the who’s\, how’s\, and why’s of the investments th
 at made this possible\, as the technology progressed from analog filters t
 o machine learning. Along the way we’ll explain the basics of audio proc
 essing\, phonetics\, morphology\, syntax\, semantics\, and pragmatics – 
 fancy words linguists use to break down the amazing process of moving conc
 epts and knowledge of the world from one brain to another via language. We
 ’ll even do a shallow dive into the Hidden Markov Models that underlie m
 ost of today’s speech recognition systems\, and the art of designing dia
 logs that compensate for their shortcomings. Finally\, we’ll touch on th
 e debate about how close we really are to the holy grail of “natural lan
 guage understanding”. Is The Singularity™ right around the corner or n
 ot?\n\nVirtual: https://events.vtools.ieee.org/m/269468
LOCATION:Virtual: https://events.vtools.ieee.org/m/269468
ORGANIZER:MDAMRON@YAHOO.COM
SEQUENCE:1
SUMMARY:Speech Recognition: An Historical Perspective on the Business and T
 echnology - Regional Webinar
URL;VALUE=URI:https://events.vtools.ieee.org/m/269468
X-ALT-DESC:Description: <br /><div class="yiv6575084003"><strong class="yiv
 6575084003">Pikes Peak Computer Society Offers:</strong></div>\n<div class
 ="yiv6575084003">&nbsp\;</div>\n<div class="yiv6575084003"><strong class="
 yiv6575084003">Speech Recognition: An Historical Perspective on the Busine
 ss and Technology</strong></div><br /><br />Agenda: <br /><p>Automated spe
 ech recognition has gone from clunky demos and wild dreams in the 1950s to
  a ubiquitous productivity tool today. We&rsquo\;ll sketch this evolution 
 and growth\, highlighting some key milestones along the way. In doing so\,
  we&rsquo\;ll explore the who&rsquo\;s\, how&rsquo\;s\, and why&rsquo\;s o
 f the investments that made this possible\, as the technology progressed f
 rom analog filters to machine learning. Along the way we&rsquo\;ll explain
  the basics of audio processing\, phonetics\, morphology\, syntax\, semant
 ics\, and pragmatics &ndash\; fancy words linguists use to break down the 
 amazing process of moving concepts and knowledge of the world from one bra
 in to another via language. We&rsquo\;ll even do a shallow dive into the H
 idden Markov Models that underlie most of today&rsquo\;s speech recognitio
 n systems\, and the art of designing dialogs that compensate for their sho
 rtcomings. Finally\, we&rsquo\;ll touch on the debate about how close we r
 eally are to the holy grail of &ldquo\;natural language understanding&rdqu
 o\;.&nbsp\; Is The Singularity&trade\; right around the corner or not?</p>
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