--- 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/