Language Identification Using Spectral Features

  • K. Sreenivasa RaoEmail author
  • V. Ramu Reddy
  • Sudhamay Maity
Part of the SpringerBriefs in Electrical and Computer Engineering book series


This chapter introduces multilingual Indian language speech corpus consisting of 27 regional Indian languages for analyzing the language identification (LID) performance. Speaker-dependent and independent language models are also discussed in view of LID. Spectral features extracted from conventional block processing, pitch synchronous analysis, and glottal closure regions are examined for discriminating the languages.


Language identification Spectral features IITKGP-MLILSC OGI-MLTS Speaker dependent LID Speaker independent LID Speaker specific LID models Pitch synchronous spectral features Spectral features from glottal closure regions Zero frequency filter 


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Copyright information

© The Author(s) 2015

Authors and Affiliations

  • K. Sreenivasa Rao
    • 1
    Email author
  • V. Ramu Reddy
    • 2
  • Sudhamay Maity
    • 3
  1. 1.Indian Institute of Technology KharagpurKharagpurIndia
  2. 2.Innovation Lab KolkataKolkataIndia
  3. 3.Indian Institute of Technology KharagpurKharagpurIndia

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