Summary of the paper

Title Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof
Authors Elodie Gauthier, Laurent Besacier, Sylvie Voisin, Michael Melese and Uriel Pascal Elingui
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.
Topics Speech Recognition/Understanding, Multilinguality, Speech Resource/Database
Full paper Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof
Bibtex @InProceedings{GAUTHIER16.460,
  author = {Elodie Gauthier and Laurent Besacier and Sylvie Voisin and Michael Melese and Uriel Pascal Elingui},
  title = {Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
 }
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