Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof - Archive ouverte HAL
Conference Papers Year : 2016

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.

Domains

Computation and Language [cs.CL]
Fichier principal
Vignette du fichier
LREC2016_DataCollection_And_ALFFA_Project.pdf (120.25 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Laurent Besacier  : Connect in order to contact the contributor

https://hal.science/hal-01350037

Submitted on : Sunday, August 21, 2016-9:18:50 AM

Last modification on : Wednesday, September 4, 2024-5:34:06 PM

Long-term archiving on : Tuesday, November 22, 2016-10:29:01 AM

Download

Dates and versions

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

Identifiers

  • HAL Id : hal-01350037 , version 1

Cite

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⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

UGA CNRS UNIV-LYON2 LIG LIG_TDCGE_GETALP DDL POLYTECH-GRENOBLE UDL ANR LIG_SIDCH
569 View
681 Download

Share

More