Language Identification Using Spectral and Prosodic Features

Language Identification Using Spectral and Prosodic Features

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 stres...

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Bibliographic Details
Published in:Springer eBooks
Main Authors: Rao, K. Sreenivasa (Author), Reddy, V. Ramu (Author), Maity, Sudhamay (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Series:SpringerBriefs in Electrical and Computer Engineering,
Subjects:
engineering.
Computational linguistics.
Engineering.
Signal, Image and Speech Processing.
Language Translation and Linguistics.
Computational Linguistics.
Online Access:http://dx.doi.org/10.1007/978-3-319-17163-0
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Table of Contents:
  •  Introduction.- Literature Review
  • Language Identification using Spectral Features
  • Language Identification using Prosodic Features
  • Summary and Conclusions
  • Appendix A: LPCC Features
  • Appendix B: MFCC Features
  •  Appendix C: Gaussian Mixture Model (GMM).

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