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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659939870 ISBN 13: 9783659939877
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Editore: Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030797775 ISBN 13: 9783030797775
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Hardcover. Condizione: new. Hardcover. This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work.Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications;Presents and escalates the research trends and future direction of language and speech processing;Includes theoretical research, experimental results, and applications of deep learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Implementation and Performance Analysis of PSTTD system | Punjabi Speech to Text Detection(PSTTD) system under different scenarios | Virender Kadyan (u. a.) | Taschenbuch | 112 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783659939877 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Lingua: Spagnolo
Editore: Ediciones Nuestro Conocimiento, 2021
ISBN 10: 6203738301 ISBN 13: 9786203738308
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Condizione: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2024
ISBN 10: 9811957258 ISBN 13: 9789811957253
Da: moluna, Greven, Germania
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Deep Learning Approaches for Spoken and Natural Language Processing | Virender Kadyan (u. a.) | Taschenbuch | xii | Englisch | 2022 | Springer | EAN 9783030797805 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer International Publishing, 2022
ISBN 10: 3030797805 ISBN 13: 9783030797805
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work.Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications;Presents and escalates the research trends and future direction of language and speech processing;Includes theoretical research, experimental results, and applications of deep learning.
Lingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 3030797775 ISBN 13: 9783030797775
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work.Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications;Presents and escalates the research trends and future direction of language and speech processing;Includes theoretical research, experimental results, and applications of deep learning.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 258 pages. 9.26x6.11x0.55 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Dez 2021, 2021
ISBN 10: 3030797775 ISBN 13: 9783030797775
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Deep Learning Technologies for the Sustainable Development Goals | Issues and Solutions in the Post-COVID Era | Virender Kadyan (u. a.) | Taschenbuch | xii | Englisch | 2024 | Springer | EAN 9789811957253 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2023
ISBN 10: 9811957223 ISBN 13: 9789811957222
Da: moluna, Greven, Germania
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Lingua: Inglese
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ISBN 10: 3030797805 ISBN 13: 9783030797805
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work.Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications;Presents and escalates the research trends and future direction of language and speech processing;Includes theoretical research, experimental results, and applications of deep learning.
Condizione: New.