Language Identification Using Spectral and Prosodic Features (SpringerBriefs in Speech Technology) - Tapa blanda

Libro 21 de 39: SpringerBriefs in Speech Technology

Rao, K. Sreenivasa; Reddy, V. Ramu; Maity, Sudhamay

 
9783319171623: Language Identification Using Spectral and Prosodic Features (SpringerBriefs in Speech Technology)
Tapa blanda
ISBN 10: 3319171623 ISBN 13: 9783319171623
Editorial: Springer, 2015

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2015
Idioma
Inglés
ISBN 10 
3319171623
ISBN 13 
9783319171623
Encuadernación
Tapa blanda
Número de páginas
112
Contacto del fabricante
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