Statistical Methods for Speech Recognition

Frederick Jelinek (Ctr Lang/Speech Proc)

$165

Paperback

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English

MIT Press
01 November 2022

Probability & statistics; Audio processing

Series: Language, Speech, and Communication

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

By: Frederick Jelinek (Ctr Lang/Speech Proc)
Imprint: MIT Press
Country of Publication: United States
Dimensions: Height: 229mm, Width: 152mm,
Weight: 369g
ISBN: 9780262546607
ISBN 10: 0262546604
Series: Language, Speech, and Communication
Pages: 306
Publication Date: 01 November 2022
Recommended Age: From 18 years
Audience: College/higher education , Professional and scholarly , A / AS level , Further / Higher Education
Format: Paperback
Publisher's Status: Active

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.