Free Delivery Over $100
|
|
|||
|
||||
OverviewThis 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 Full Product DetailsAuthor: Frederick Jelinek (Ctr Lang/Speech Proc)Publisher: MIT Press Ltd Imprint: MIT Press Weight: 0.369kg ISBN: 9780262546607ISBN 10: 0262546604 Pages: 306 Publication Date: 01 November 2022 Recommended Age: From 18 years Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationFrederick 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. Tab Content 6Author Website:Countries AvailableAll regions |
||||
