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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Main Authors: Rao, K. Sreenivasa, Reddy, V. Ramu (Author), Maity, Sudhamay (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Published: Cham Springer International Publishing 2015, 2015
Edition:1st ed. 2015
Series:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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)