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Semantic Lexical Grounding for Automatic Speech Recognition of Low-Resource West African Languages: Initial Experiments on Mina and Goun

Domaine:

natural language processing

Type de record:

paper
Créateur:
djo
Éditeur:
Zenodo
Hôte:avatar

This record contains the original English manuscript and an official French translation of the paper "Semantic Lexical Grounding for Automatic Speech Recognition of Low-Resource West African Languages: Initial Experiments on Mina and Goun".

The paper presents the first documented automatic speech recognition (ASR) experiments for the Mina (Gen) and Goun (Gun/Gungbe) languages using Meta's MMS model. It introduces the Semantic Lexical Grounding (SLG) framework, a multilingual lexical resource of 4,708 verified concept pairs, and reports baseline ASR results obtained from community-collected speech corpora.

Files included:

  • GOD_AI_arXiv_Paper_v2.pdf (English)
  • GOD_AI_arXiv_Paper_v2_FR.pdf (Official French translation)

Tasks

automatic speech recognitionspeech processing

Languages

GunMina

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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