Statistical Methods for Speech Recognition (Language, Speech, and Communication)

Jelinek, Frederick

ISBN 10: 0262546604 / ISBN 13: 9780262546607

Published by MIT Press, 2022

Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting. Seller Inventory # MIT-PB-VG-0262546604

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.

Bibliographic Details

Title: Statistical Methods for Speech Recognition (...
Publisher: MIT Press
Publication Date: 2022
Binding: paperback
Condition: Very Good