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Communication Dans Un Congrès Année : 2016

Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof

Résumé

This article presents the data collected and ASR systems developped for 4 sub-saharan african languages (Swahili, Hausa, Amharic and Wolof). To illustrate our methodology, the focus is made on Wolof (a very under-resourced language) for which we designed the first ASR system ever built in this language. All data and scripts are available online on our github repository.
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Dates et versions

hal-01350037 , version 1 (21-08-2016)

Identifiants

  • HAL Id : hal-01350037 , version 1

Citer

Elodie Gauthier, Laurent Besacier, Sylvie Voisin, Michael Melese, Uriel Pascal Elingui. Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof. 10th Language Resources and Evaluation Conference (LREC 2016), May 2016, Portoroz, Slovenia. ⟨hal-01350037⟩
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