Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

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

Domain:

natural language processing

Record type:

paper
This article presents the data collected and ASR systems developed 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.

Visit

aclanthology.orghal.archives-ouvertes.fr

Connected records

dataset

Tasks

automatic speech recognitionspeech processing

Languages

AmharicHausaSwahiliWolof

Tags

alffa

Similar

Automatic Speech Recognition in WOLOFBenchmarking Automatic Speech Recognition Models for African Languagesanashas/Automatic-Speech-Recognition-in-WOLOFIban Automatic Speech Recognition ResourcesSynthetic Voice Data for Automatic Speech Recognition in African LanguagesTowards speech technology for South African languages: automatic speech recognition in Xhosa

Automatic Speech Recognition in WOLOF

automatic speech recognition model for Wolof for use in public transport?

Benchmarking Automatic Speech Recognition Models for African Languages

Automatic speech recognition (ASR) for African languages remains constrained by limited labeled data

anashas/Automatic-Speech-Recognition-in-WOLOF

### Automatic-Speech-Recognition-in-WOLOF - This notebook is part of my participation in this Zindi

Iban Automatic Speech Recognition Resources

This package has iban text and speech corpora used for Automatic Speech Recognition (ASR) experiment

Synthetic Voice Data for Automatic Speech Recognition in African Languages

Speech technology remains out of reach for most of the over 2300 languages in Africa. We present the first systematic assessment of large-scale synthetic voice corpora for African ASR.

We apply a three-step process: LLM-driven text creation, TTS voice sy

Towards speech technology for South African languages: automatic speech recognition in Xhosa