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:
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.771.pdf