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General Information
    • ISSN: 2010-3719
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Executive Editor: Jennifer Zeng
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET).
    • E-mail ijiee@ejournal.net

University of Brunei Darussalam, Brunei Darussalam   
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IJIEE 2016 Vol.6(5): 304-307 ISSN: 2010-3719
DOI: 10.18178/IJIEE.2016.6.5.643

Web-Based Automatic Language Identification System

Mauricio M. Olvera, Angel Sánchez, and Larry H. Escobar
Abstract—Language Identification (LID) is the automated process of identifying what language is being spoken from a sample of speech by an unknown speaker. In this work we present a web-based LID system using Shifted Delta Cepstral (SDC) features derived from Mel-Frequency Cepstral Coefficients to gather relevant acoustic information from speech signals, and Gaussian Mixture Models (GMM) as a classifier. Speech corpora comprising four languages (English, Spanish, French and German) were made up of recordings from audio media found on the Internet. A web implementation was done using up-to-date web technologies with GNU Octave running on the server side to perform numerical computations. Results showed a system accuracy ranging from 72.5% to up to 80% depending on the duration of speech test segments.

Index Terms—GMM, language identification, MFCC, SDC.

The authors are with the Faculty of Engineering, National Autonomous University of Mexico, Coyoacán, Mexico City, 04510, Mexico (e-mail: molveraz@comunidad.unam.mx, angelsanchez@ingenieria.unam.mx, larryesc@gmail.com).


Cite:Mauricio M. Olvera, Angel Sánchez, and Larry H. Escobar, "Web-Based Automatic Language Identification System," International Journal of Information and Electronics Engineering vol. 6, no. 5, pp. 304-307, 2016.

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