Nos_Brais-GL / README.md
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---
configs:
- config_name: brais
data_files:
- split: all
path: brais_all.csv
- split: train
path: brais_train.csv
- split: test
path: brais_test.csv
sep: "\t"
license: cc-by-4.0
language:
- gl
task_categories:
- text-to-speech
pretty_name: Nos_Brais-GL
tags:
- male-speaker
extra_gated_heading: >-
Please provide the required information and accept the Terms and Conditions to
request access to the dataset
extra_gated_description: >-
**Terms and Conditions**
This dataset may be used solely for research purposes and for developing
artificial intelligence tools focused on linguistic objectives. It can be
accessed by any entity collaborating on projects promoted by the Centro Ramón
Piñeiro de Investigación en Humanidades and Universidade de Santiago de
Compostela, particularly those involved in the implementation of the Nós
project. Dissemination of the voice recordings in an open-access manner or
their public exposure is strictly prohibited. By accessing and using this
dataset, you agree to comply with all applicable laws and ethical standards
regarding the protection of individual rights. Users are strictly prohibited
from using the dataset in any way that infringes upon the rights, privacy, or
dignity of any individual represented within it. Any misuse, including but not
limited to attempts to engage in discriminatory, harmful, or unlawful
activities, is expressly forbidden.
This document is a legal contract between you and the dataset provider. By
accessing and using the dataset, you acknowledge and agree to abide by the
Terms and Conditions.
Our team may take a few days to process your access request. Thank you in
advance for your patience.
extra_gated_button_content: I agree to the Terms and Conditions
extra_gated_fields:
Name: text
Email: text
Institution: text
Country: country
I want to use this dataset for:
type: text
---
# Nos_Brais-GL: Galician TTS corpus
**Galician TTS single-speaker corpus of approximately 18 hours of speech.**
Nos_Brais-GL is based on a phonetically and morphosyntactically rich text corpus of 16,121 phrases (approximately 168,000 words)
comprising three subcorpora: selected phrases from a corpus compiled by the Nós Project from multi-domain texts and previously
used in the [Nos_Celtia-GL](https://huggingface.co/datasets/proxectonos/Nos_Celtia-GL/) TTS corpus; selected phrases from a
[previously compiled corpus](https://huggingface.co/datasets/proxectonos/CRPIH_UVigo-GL-Voices/) created by the Grupo de Tecnoloxías
Multimedia (GTM) and the Centro Ramón Piñeiro para a Investigación en Humanidades (CRPIH); and, finally, a 500-word phonetically rich
single-word subcorpus extracted from the Dicionario de pronuncia da lingua galega.
Nos_Brais-GL was recorded in a controlled environment (recording studio) by a professional male voice talent selected among three
speakers through a perceptual listening test in which 37 participants assessed the speakers' clarity, prosody, likeability, and
language profiency.
Audio files are provided in a normalized audio version.
The file naming scheme of the audio files consists of a series of lowercase elements indicating the name of the voice (brais),
and the type of audio (norm), followed by a 5-digit number identifying the utterance. All components are separated by hypens
(e.g. brais-norm-00001.wav).
The dataset is divided in two splits, train (containing 16,100 sentences) and test (containing 21 sentences).
All WAV files are in the audio directory, divided in subdirectories according to the corresponding split.
The audio files are available in 16kHz 16-bit WAV, and amount to approximately 18 hours.
## Additional information
### Contact information
For more information, please go to https://nos.gal/ or contact the Nós Project at proxecto.nos@usc.gal.
### Licensing Information
[Creative Commons Attribution 4.0 International ](https://creativecommons.org/licenses/by/4.0/)
### Terms and conditions
This dataset may be used solely for research purposes and for developing
artificial intelligence tools focused on linguistic objectives. It can be
accessed by any entity collaborating on projects promoted by the Centro Ramón
Piñeiro de Investigación en Humanidades and Universidade de Santiago de
Compostela, particularly those involved in the implementation of the Nós
project. Dissemination of the voice recordings in an open-access manner or
their public exposure is strictly prohibited. By accessing and using this
dataset, you agree to comply with all applicable laws and ethical standards
regarding the protection of individual rights. Users are strictly prohibited
from using the dataset in any way that infringes upon the rights, privacy, or
dignity of any individual represented within it. Any misuse, including but not
limited to attempts to engage in discriminatory, harmful, or unlawful
activities, is expressly forbidden.
### Funding and acknowledgements
This dataset was produced within the framework of the Proxecto Nós, funded by Ministry for Digital Transformation
and Public Administration and the Recovery, Transformation, and Resilience Plan — Funded by the European Union
— NextGenerationEU, as part of the Ilenia Project with reference 2022/TL22/00215336.
We would like to deeply thank the speaker, **Gaspar González Somoza**, for kindly providing his voice to this project.
The team also thanks the creators of the [CorpusCrt tool](https://asiya.cs.upc.edu/), Universitat Politècnica de Catalunya (UPC).
We also would like to thank the following entities for their kind collaboration in providing the data for the text corpus:
[Grupo de Tecnoloxías Multimedia (GTM)](https://gtm.uvigo.es/en/),
[Centro Ramón Piñeiro para a Investigación en Humanidades (CRPIH)](https://www.cirp.gal/),
[Real Academia Galega](https://academia.gal/inicio), [Corporación Radio Televisión de Galicia S.A.](https://www.crtvg.es/),
[Parlamento de Galicia](https://www.parlamentodegalicia.gal/), the [Arquivo do Galego Oral](https://ilg.usc.es/ago/) (AGO-ILG) project,
and the [Dicionario de pronuncia da lingua galega](https://ilg.usc.es/pronuncia/).
### Citation information
Vladu, Adina Ioana; García Díaz, Noelia; Regueira Fernández, Xosé Luis; Magariños, Carmen; Moscoso Sánchez, Antonio; Fernández López, Daniel;
Fernández Rei, Elisa & Dubert-García, Francisco. (2025). Nos_Brais-GL. URL: https://huggingface.co/datasets/proxectonos/Nos_Brais-GL/