Prerequisites for Advancing Automatic Speech Recognition in Breton

Morgan Grobol, Alice Millour, Wassim Zemouri, Yuna Drapier, Mélanie Jouitteau


Abstract
We report on the extensive preliminary work of a collaborative science project aimed at developing Automatic Speech Recognition (ASR) for a minoritized European language: Breton. Hoping to help similar initiatives for other languages and communities, we present the methodology we developed for this specific ecosystem, with an estimate of the material and immaterial resources we used. Our approach is grounded in the needs and resources of the community formed by the end-users of digital development. Our multidisciplinary scientific collaboration involves linguists and speakers embedded in the academic and linguistic community, and computer scientists.
Anthology ID:
2026.lrec-main.113
Volume:
Proceedings of the Fifteenth Language Resources and Evaluation Conference
Month:
May
Year:
2026
Address:
Palma de Mallorca, Spain
Editors:
Stelios Piperidis, Núria Bel, Henk van den Heuvel, Nancy Ide, Simon Krek, Antonio Toral
Venue:
LREC
SIG:
Publisher:
ELRA Language Resource Association
Note:
Pages:
1464–1473
Language:
URL:
https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.113/
DOI:
Bibkey:
Cite (ACL):
Morgan Grobol, Alice Millour, Wassim Zemouri, Yuna Drapier, and Mélanie Jouitteau. 2026. Prerequisites for Advancing Automatic Speech Recognition in Breton. International Conference on Language Resources and Evaluation, main:1464–1473.
Cite (Informal):
Prerequisites for Advancing Automatic Speech Recognition in Breton (Grobol et al., LREC 2026)
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PDF:
https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.113.pdf