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Language Identification Using Spectral and Prosodic Features (SpringerBriefs in Speech Technology) - Softcover
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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.
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Language Identification Using Spectral and Prosodic Features
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Language Identification Using Spectral and Prosodic Features (SpringerBriefs in Speech Technology)
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Language Identification Using Spectral and Prosodic Features (SpringerBriefs in Electrical and Computer Engineering)
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Language Identification Using Spectral and Prosodic Features
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Springer International Publishing Apr 2015, 2015
ISBN 10: 3319171623
ISBN 13: 9783319171623
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Taschenbuch. Condition: 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. Seller Inventory # 9783319171623
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Language Identification Using Spectral and Prosodic Features
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Language Identification Using Spectral and Prosodic Features
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Springer International Publishing, Springer International Publishing, 2015
ISBN 10: 3319171623
ISBN 13: 9783319171623
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Taschenbuch. Condition: 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. Seller Inventory # 9783319171623
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Language Identification Using Spectral and Prosodic Features (SpringerBriefs in Speech Technology)
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Language Identification Using Spectral and Prosodic Features
Published by
Springer International Publishing, 2015
ISBN 10: 3319171623
ISBN 13: 9783319171623
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Condition: 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. Seller Inventory # 24218384
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Language Identification Using Spectral and Prosodic Features (SpringerBriefs in Electrical and Computer Engineering)
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Condition: New. Print on Demand pp. 98. Seller Inventory # 374278305
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