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COPY LINK DOWNLOAD: https://isbooktoday.com/freedom/0262100665 This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and dat
COPY LINK DOWNLOAD: https://isbooktoday.com/freedom/0262100665
This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and dat
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Statistical Methods for Speech Recognition
(Language, Speech, and Communication)
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https://isbooktoday.com/freedom/0262100665
This book reflects decades of important research on the mathematical foundations of speech
recognition. It focuses on underlying statistical techniques such as hidden Markov models,
decision trees, the expectation-maximization algorithm, information theoretic goodness criteria,
maximum entropy probability estimation, parameter and data clustering, and smoothing of
probability distributions. The author's goal is to present these principles clearly in the simplest
setting, to show the advantages of self-organization from real data, and to enable the reader to
apply the techniques.
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