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

Abstract : 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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https://hal.archives-ouvertes.fr/hal-01350037
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Submitted on : Sunday, August 21, 2016 - 9:18:50 AM
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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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