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Añadir al carritoPaperback. Condición: Brand New. 2015 edition. 98 pages. 9.00x6.00x0.25 inches. In Stock.
Publicado por Springer International Publishing, Springer Nature Switzerland Apr 2015, 2015
ISBN 10: 3319171623 ISBN 13: 9783319171623
Idioma: Inglés
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from two complementary aspects, showing how the development of language identification (LID) system using the combination of spectral and prosodic features will enhance the accuracy of identification as well as improve the robustness of the system. This book provides the methods to extract the spectral and prosodic features at various levels, and also suggests the appropriate models for developing robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desired models to enhance the performance of LID systems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 112 pp. Englisch.
Publicado por Springer International Publishing, Springer International Publishing, 2015
ISBN 10: 3319171623 ISBN 13: 9783319171623
Idioma: Inglés
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from two complementary aspects, showing how the development of language identification (LID) system using the combination of spectral and prosodic features will enhance the accuracy of identification as well as improve the robustness of the system. This book provides the methods to extract the spectral and prosodic features at various levels, and also suggests the appropriate models for developing robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desired models to enhance the performance of LID systems.
Publicado por Springer Nature Switzerland, 2015
ISBN 10: 3319171623 ISBN 13: 9783319171623
Idioma: Inglés
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Añadir al carritoTaschenbuch. Condición: Neu. Language Identification Using Spectral and Prosodic Features | K. Sreenivasa Rao (u. a.) | Taschenbuch | xi | Englisch | 2015 | Springer Nature Switzerland | EAN 9783319171623 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Publicado por Springer International Publishing Apr 2015, 2015
ISBN 10: 3319171623 ISBN 13: 9783319171623
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from two complementary aspects, showing how the development of language identification (LID) system using the combination of spectral and prosodic features will enhance the accuracy of identification as well as improve the robustness of the system. This book provides the methods to extract the spectral and prosodic features at various levels, and also suggests the appropriate models for developing robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desired models to enhance the performance of LID systems. 112 pp. Englisch.
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Añadir al carritoCondición: New. Print on Demand pp. 98.
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 98.
Publicado por Springer International Publishing, 2015
ISBN 10: 3319171623 ISBN 13: 9783319171623
Idioma: Inglés
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses recently proposed spectral features extracted from glottal closure regions and pitch-synchronous analysis, which are more robust and carry high degree of language discrimination informationProposes robust methods for extracting the spect.