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A Language Identification System Based on Voxforge Speech Corpus

  • Khaled LounnasEmail author
  • Mourad Abbas
  • Hocine Teffahi
  • Mohamed Lichouri
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 921)

Abstract

In this work, we address the problem of identifying languages based on Voxforge speech corpus. We downloaded corpora for three languages: English, German and Persian from Voxforge. In addition, we recorded two additional corpora, the first one for Modern Standard Arabic (MSA) and the other one for Kabyl, one of the Algerian Berber dialects. To tackle this task, we used three classifiers, namely: k-Nearest Neighbors (kNN), Support Vector Machines (SVM) and Extra Trees Classifier. We obtained an average precision of \(87.45 \%\) for binary classification compared to \(44 \%\) for the multi-class one.

Keywords

kNN SVM Extratrees Language identification 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Khaled Lounnas
    • 1
    Email author
  • Mourad Abbas
    • 2
  • Hocine Teffahi
    • 1
  • Mohamed Lichouri
    • 1
    • 2
  1. 1.University of Sciences and Technology Houari BoumedieneBab EzzouarAlgeria
  2. 2.Computational Linguistics DepartmentCRSTDLABouzaréahAlgeria

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