Uriel Pascal Elingui


Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof
Elodie Gauthier | Laurent Besacier | Sylvie Voisin | Michael Melese | Uriel Pascal Elingui
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

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.