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Language Identification Using Spectrogram Texture

  • Ana MontalvoEmail author
  • Yandre M. G. Costa
  • José Ramón Calvo
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9423)

Abstract

This paper proposes a novel front-end for automatic spoken language recognition, based on the spectrogram representation of the speech signal and in the properties of the Fourier spectrum to detect global periodicity in an image. Local Phase Quantization (LPQ) texture descriptor was used to capture the spectrogram content. Results obtained for 30 seconds test signal duration have shown that this method is very promising for low cost language identification. The best performance is achieved when our proposed method is fused with the i-vector representation.

Keywords

Spoken language recognition Texture image descriptors Low cost language identification 
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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Ana Montalvo
    • 1
    Email author
  • Yandre M. G. Costa
    • 2
  • José Ramón Calvo
    • 1
  1. 1.Advanced Technologies Application CenterHavanaCuba
  2. 2.Department of InformaticsState University of MaringáMaringáBrazil

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