Overview:Statistical Methods for Speech Recognition - 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.

This book is on page /a06b960ac9dc90216ed4e00b41bc8290/book/1603728787-9780262100663. It was written by the following authors: Frederick Jelinek. Book Statistical Methods for Speech Recognition - Language, Speech, and Communication, which can be read online, published by the company: MIT Press Ltd. Other books on similar topics can be found in sections: Science, Internet, Technology, Computing, Medicine. The book was published on 1998-01-15. It has 305 pages and is published in Hardback format and weight 590 g. File for download Statistical Methods for Speech Recognition - Language, Speech, and Communication has PDF format and is called statistical-methods-for-speech-recognition-language-speech-and-communication.pdf. Other books you can download below. Our topcanal.eu site is not responsible for the content of PDF files.


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