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In. Codice articolo ria9780262546607_new
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
Informazioni sull?autore: 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.
Titolo: Statistical Methods for Speech Recognition (...
Casa editrice: MIT Press
Data di pubblicazione: 2022
Legatura: Brossura
Condizione: New
Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.This book reflects deca. Codice articolo 749802968
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Statistical Methods for Speech Recognition | Frederick Jelinek | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | MIT Press | EAN 9780262546607 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 125764940
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. 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. Codice articolo 9780262546607
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PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9780262546607
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9780262546607
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Da: Rarewaves.com UK, London, Regno Unito
Paperback. Condizione: New. Codice articolo LU-9780262546607
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 152. Codice articolo C9780262546607
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
Paperback. Condizione: New. Codice articolo LU-9780262546607
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Codice articolo 26395223088
Quantità: 4 disponibili
Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 306 pages. 9.00x6.00x0.69 inches. In Stock. Codice articolo x-0262546604
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