Statistical Methods for Speech Recognition by Frederick Jelinek
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.
-
Presumptive Meanings
-
The Origins of Grammar
-
Statistical Language Learning
-
Investigations in Universal Grammar
-
Children with Specific Language Impairment
-
The Discovery of Spoken Language
-
Type-Logical Semantics
-
Toward a Cognitive Semantics
-
Language Form and Language Function
-
A Prosodic Model of Sign Language Phonology
-
The Generative Lexicon
-
Lexical Competence
-
The Syntax of American Sign Language
-
The Syntactic Process
-
Ontological Semantics
| SKU | Unavailable |
| ISBN 13 | 9780262546607 |
| ISBN 10 | 0262546604 |
| Title | Statistical Methods for Speech Recognition |
| Author | Frederick Jelinek |
| Series | Language Speech And Communication |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | MIT Press Ltd |
| Year published | 2022-11-01 |
| Number of pages | 306 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |