Statistical Methods for Speech Recognition

Frederick Jelinek

ISBN 10: 0262546604 / ISBN 13: 9780262546607

Published by MIT Press, 2022

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9780262546607

Bibliographic Details

• Title: Statistical Methods for Speech Recognition
• Publisher: MIT Press
• Publication Date: 2022
• Language: English
• ISBN 10: 0262546604
• ISBN 13: 9780262546607
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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

About the Author

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.