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DTSTART:20210314T030000
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DTSTAMP:20210425T173424Z
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DTSTART;TZID=America/Denver:20210422T180000
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DESCRIPTION:Automated speech recognition has gone from clunky demos and wil
 d dreams in the 1950s to a ubiquitous productivity tool today. We’ll ske
 tch 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 that made this possible\, as the technology progressed fr
 om analog filters to machine learning. Along the way we’ll explain the b
 asics of audio processing\, phonetics\, morphology\, syntax\, semantics\, 
 and pragmatics – fancy words linguists use to break down the amazing pro
 cess of moving concepts and knowledge of the world from one brain to anoth
 er via language. We’ll even do a shallow dive into the Hidden Markov Mod
 els that underlie most of today’s speech recognition systems\, and the a
 rt of designing dialogs that compensate for their shortcomings. Finally\, 
 we’ll touch on the debate about how close we really are to the holy grai
 l of “natural language understanding”. Is The Singularity™ right aro
 und the corner or not?\n\nSpeaker(s): Mark Holthouse\, \n\nVirtual: https:
 //events.vtools.ieee.org/m/268504
LOCATION:Virtual: https://events.vtools.ieee.org/m/268504
ORGANIZER:genef@ieee.org
SEQUENCE:7
SUMMARY:PPCS April Meeting: Speech Recognition - Historical View of Busines
 s and Technology
URL;VALUE=URI:https://events.vtools.ieee.org/m/268504
X-ALT-DESC:Description: <br /><p>Automated speech recognition has gone from
  clunky demos and wild dreams in the 1950s to a ubiquitous productivity to
 ol today. We&rsquo\;ll sketch this evolution and growth\, highlighting som
 e key milestones along the way. In doing so\, we&rsquo\;ll explore the who
 &rsquo\;s\, how&rsquo\;s\, and why&rsquo\;s of the investments that made t
 his possible\, as the technology progressed from analog filters to machine
  learning. Along the way we&rsquo\;ll explain the basics of audio processi
 ng\, phonetics\, morphology\, syntax\, semantics\, and pragmatics &ndash\;
  fancy words linguists use to break down the amazing process of moving con
 cepts and knowledge of the world from one brain to another via language. W
 e&rsquo\;ll even do a shallow dive into the Hidden Markov Models that unde
 rlie most of today&rsquo\;s speech recognition systems\, and the art of de
 signing dialogs that compensate for their shortcomings. Finally\, we&rsquo
 \;ll touch on the debate about how close we really are to the holy grail o
 f &ldquo\;natural language understanding&rdquo\;.&nbsp\; Is The Singularit
 y&trade\; right around the corner or not?</p>
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