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Statistical Methods for Speech Recognition by Frederick Jelinek
Statistical Methods for Speech Recognition by Frederick Jelinek
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Statistical Methods for Speech Recognition

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Description

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. Bradford Books imprint

Author Biography:

Frederick Jelinek is Julian Sinclair Smith Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University, where he is also Director for the Center for Language and Speech Processing.
Release date Australia
November 1st, 2022
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
  • Undergraduate
Interest Age
From 18 years
Pages
306
ISBN-13
9780262546607
Product ID
36019666

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