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Language Identification Using Spectral and Prosodic Features by Sudhamay Maity, V. Ramu Reddy, K. Sreenivasa Rao (Paperback, 2015)

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About this product

Product Information

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.

Product Identifiers

Publisher
Springer International Publishing Ag
ISBN-13
9783319171623
eBay Product ID (ePID)
214306076

Product Key Features

Author
Sudhamay Maity, V. Ramu Reddy, K. Sreenivasa Rao
Publication Name
Language Identification Using Spectral and Prosodic Features
Format
Paperback
Language
English
Subject
Engineering & Technology, Computer Science
Publication Year
2015
Type
Textbook
Number of Pages
98 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Item Weight
1825g

Additional Product Features

Title_Author
K. Sreenivasa Rao, Sudhamay Maity, V. Ramu Reddy
Series Title
Springerbriefs in Speech Technology
Country/Region of Manufacture
Switzerland

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