Maghrebian dialect recognition based on support vector machines and neural network classifiers

Author:

Hassine Mohamed,Boussaid Lotfi,Messaoud Hassani

Funder

Laboratoire LARATSI/ENIM, Tunisie

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference33 articles.

1. Alorifis, F. S. (2008). Automatic identification of arabic dialects using hidden markov models, Thesis, University of Pittsburgh.

2. Ameen, A., Uma, R., & Madhusudana, R. (2012). Speaker recognition system using combined vector quantization and discrete Hidden Markov model. International Journal Of Computational Engineering Research, 2(3), 2250–3005.

3. Amour, M., Bouhjar, A., & Boukhris, F. (2004). Introduction to amazigh language. Paris: IRCAM.

4. Antoniol, G., Rollo, V. F., & Venturi, G. (2005). Linear Predictive Coding and Cepstrum coefficients for mining time variant information from software repositories. St. Louis: International Workshop on Mining Software Repositories.

5. Barkat-Defradas, M., Hamdi, R., & Pellegrino, F. (2004). From linguistic characterization to automatic identification of arabic dialects (pp. 29–30). Paris: MIDL.

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