The Application Of Hidden Markov Models In Speech Recognition
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The Application of Hidden Markov Models in Speech Recognition presents the core architecture of a HMM-based LVCSR system and proceeds to describe the various re
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Hidden Markov models (HMMs) originally emerged in the domain of speech recognition. In recent years, they have attracted growing interest in the area of compute
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This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-t
Language: en
Pages: 640
Pages: 640
Type: BOOK - Published: 1990-12-25 - Publisher: Elsevier
After more than two decades of research activity, speech recognition has begun to live up to its promise as a practical technology and interest in the field is
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