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Speech recognition, technologies and applications
Speech recognition, technologies and applications
Date: 23 May 2011, 06:50

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After decades of research activity, speech recognition technologies have advanced in both the theoretical and practical domains. The technology of speech recognition has evolved from the first attempts at speech analysis with digital computers by James Flanagan’s group at Bell Laboratories in the early 1960s, through to the introduction of dynamic time-warping pattern-matching techniques in the 1970s, which laid the foundations for the statistical modeling of speech in the 1980s that was pursued by Fred Jelinek and Jim Baker from IBM’s T. J. Watson Research Center. In the years 1980-90, when Lawrence H. Rabiner introduced hidden Markov models to speech recognition, a statistical approach became ubiquitous in speech processing.

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