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

Adina Ioana Vladu; Antonio Moscoso Sánchez; Carmen Magariños; María Pérez Lago; Elisa Fernández Rei

doi:10.63317/2x6ou8cyanmo

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

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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-1.771
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:
External URL:: https://lrec.elra.info/lrec2026-main-771
DOI:: 10.63317/2x6ou8cyanmo
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. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 9841–9849, Palma de Mallorca, Spain. ELRA Language Resource Association.
Cite (Informal):: Nos_Brais-GL: A FAIR Galician TTS Corpus for Neural Speech Synthesis (Vladu et al., LREC 2026)
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@inproceedings{vladu-etal-2026-nos,
    title = "{N}os{\_}{B}rais-{GL}: A {FAIR} {G}alician {TTS} Corpus for Neural Speech Synthesis",
    author = "Vladu, Adina Ioana  and
      S{\'a}nchez, Antonio Moscoso  and
      Magari{\~n}os, Carmen  and
      Perez Lago, Mar{\'i}a  and
      Fern{\'a}ndez Rei, Elisa",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://aclanthology.org/2026.lrec-1.771/",
    doi = "10.63317/2x6ou8cyanmo",
    pages = "9841--9849",
    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."
}

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%0 Conference Proceedings
%T Nos_Brais-GL: A FAIR Galician TTS Corpus for Neural Speech Synthesis
%A Vladu, Adina Ioana
%A Sánchez, Antonio Moscoso
%A Magariños, Carmen
%A Perez Lago, María
%A Fernández Rei, Elisa
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F vladu-etal-2026-nos
%X 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.
%R 10.63317/2x6ou8cyanmo
%U https://aclanthology.org/2026.lrec-1.771/
%U https://doi.org/10.63317/2x6ou8cyanmo
%P 9841-9849

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Markdown (Informal)

[Nos_Brais-GL: A FAIR Galician TTS Corpus for Neural Speech Synthesis](https://aclanthology.org/2026.lrec-1.771/) (Vladu et al., LREC 2026)

Nos_Brais-GL: A FAIR Galician TTS Corpus for Neural Speech Synthesis (Vladu et al., LREC 2026)

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. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 9841–9849, Palma de Mallorca, Spain. ELRA Language Resource Association.