Nos_Celtia-GL: Galician TTS corpus

Galician TTS single speaker corpus of approximately 25 hours of speech.

Nos_Celtia-GL is a phonetically and morphosyntactically rich corpus of 20,000 phrases (approximately 200,000 words) comprising two subcorpora: a previously compiled corpus created by the Grupo de Tecnoloxías Multimedia (GTM), together with the Centro Ramón Piñeiro para a Investigación en Humanidades (CRPIH), and a corpus compiled by the Nós Project from multi-domain texts.

The text corpus statistics are detailed in the table below:

Subcorpus	Sentence no.	Word no.	Sentence length (words)	Sentence domain/type
GTM	10,000	121,726	1-44	Journalistic (written) text Manually designed sentences (interrogative, lists of numbers...)
Nós	10,000	99,622	1-36	21,8% transcripts of oral discourse 17,5% dictionary definitions 12,7% transcripts of parliamentary speeches 20% transcripts of news broadcasts 28% short (<4 words), interrogative, exclamative, imperative, and elliptical sentences

While the Nós subcorpus has undergone a thorough linguistic review, we have decided not to adapt the GTM corpus to the current grammatical norms of the Galician language with a view to obtaining a parallel corpus to the previously recorded CRPIH_UVigo-GL-Voices.

Nos_Celtia-GL was recorded in a controlled environment (recording studio) by a professional female voice talent selected among four speakers through a perceptual listening test in which more than 50 participantes assessed the speakers' clarity, prosody, likeability, and language profiency.

The file naming scheme of the audio files consists of a series of lowercase elements indicating the type of audio (norm, normalized volume), the creators of the corpus (nos), the name of the voice (celtia), and the ISO code for the Galician language (gl), followed by a 5-digit number identifying the utterance. All components are separated by underscores (e.g., norm_nos_celtia_gl_00001.wav).

The dataset is divided in two splits, train (containing 19,970 sentences) and test (containing 30 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 format, and amount to approximately 25 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

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.

The property to the speech data contained in this dataset has been transferred to the University of Santiago de Compostela (USC) for the duration of 15 years. Starting 30/11/2037, this data will be removed. After this date, the USC is not liable for any use by third parties who might have downloaded the dataset.

Funding and acknowledgements

"The Nós Project: Galician in the society and economy of Artificial Intelligence" is possible thanks to the funding resulting from the agreement 2021-CP080 between the Xunta de Galicia and the Universtity of Santiago de Compostela, and thanks to the Investigo program, within the National Recovery, Transformation and Resilience Plan, within the framework of the European Recovery Fund (NextGenerationEU).

We would like to thank the speaker, Consuelo Díaz Isorna, for kindly providing her voice to this project.

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), Centro Ramón Piñeiro para a Investigación en Humanidades (CRPIH), Real Academia Galega, Corporación Radio Televisión de Galicia S.A., Parlamento de Galicia, and the Arquivo do Galego Oral (AGO-ILG) project.

Our gratitude also to Xoán Carlos Goris García, Elia Lago Pereira and Alicia López Besteiro for reviewing part of the audio corpus.

Citation information

Please refer to our paper for more details: Nos_Celtia-GL: an Open High-Quality Speech Synthesis Resource for Galician.

If you use this data in your work, please cite:

García Díaz, N., Vázquez Abuín, M., Magariños, C., Vladu, A.I., Moscoso Sánchez, A., Fernández Rei, E. (2024) Nos_Celtia-GL: an Open High-Quality Speech Synthtesis Resource for Galician. Proc. IberSPEECH 2024, 91-95, doi: 10.21437/IberSPEECH.2024-19