SpringerBriefs in Speech Technology

Language Identification Using Spectral and Prosodic Features

Authors: Rao, K. Sreenivasa, Reddy, V. Ramu, Maity, Sudhamay

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  • 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 information
  • Proposes robust methods for extracting the spectral features from glottal closure regions and pitch-synchronous analysis
  • Investigates spectral features for language identification tasks in noisy background environments
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  • ISBN 978-3-319-17163-0
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About this book

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.

Table of contents (5 chapters)

Table of contents (5 chapters)
  • Introduction

    Pages 1-11

    Rao, K. Sreenivasa (et al.)

  • Literature Review

    Pages 13-26

    Rao, K. Sreenivasa (et al.)

  • Language Identification Using Spectral¬†Features

    Pages 27-53

    Rao, K. Sreenivasa (et al.)

  • Language Identification Using Prosodic Features

    Pages 55-81

    Rao, K. Sreenivasa (et al.)

  • Summary and Conclusions

    Pages 83-86

    Rao, K. Sreenivasa (et al.)

Buy this book

eBook n/a
  • ISBN 978-3-319-17163-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
Softcover n/a
  • ISBN 978-3-319-17162-3
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Language Identification Using Spectral and Prosodic Features
Authors
Series Title
SpringerBriefs in Speech Technology
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-17163-0
DOI
10.1007/978-3-319-17163-0
Softcover ISBN
978-3-319-17162-3
Series ISSN
2191-737X
Edition Number
1
Number of Pages
XI, 98
Number of Illustrations
16 b/w illustrations, 5 illustrations in colour
Topics