Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof
2016-05-01LREC 2016Code Available0· sign in to hype
Elodie Gauthier, Laurent Besacier, Sylvie Voisin, Michael Melese, Uriel Pascal Elingui
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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.