Nos_Brais-GL: A FAIR Galician TTS Corpus for Neural Speech Synthesis

Adina Ioana Vladu, Antonio Moscoso Sánchez, Carmen Magariños, María Perez Lago, Elisa Fernández Rei


Abstract
This paper introduces Nos_Brais-GL, a new open-access high-quality Galician speech corpus designed for the development of neural Text-to-Speech (TTS) systems. Nos_Brais-GL contains approximately 18 hours of professionally recorded male speech and a carefully curated set of utterances selected to ensure linguistic variation and phonetic and prosodic richness. Beyond its immediate application in synthetic speech generation, Nos_Brais-GL exemplifies good practices in TTS corpus design for lesser-resourced languages, emphasizing methodological transparency, open licensing, and interoperability.
Anthology ID:
2026.lrec-main.771
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:
9841–9849
Language:
URL:
https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.771/
DOI:
Bibkey:
Cite (ACL):
Adina Ioana Vladu, Antonio Moscoso Sánchez, Carmen Magariños, María Perez Lago, and Elisa Fernández Rei. 2026. Nos_Brais-GL: A FAIR Galician TTS Corpus for Neural Speech Synthesis. International Conference on Language Resources and Evaluation, main:9841–9849.
Cite (Informal):
Nos_Brais-GL: A FAIR Galician TTS Corpus for Neural Speech Synthesis (Vladu et al., LREC 2026)
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PDF:
https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.771.pdf