README.md

---
configs:
- config_name: celtia
  data_files:
  - split: all
    path: celtia_all.csv
  - split: train
    path: celtia_train.csv
  - split: test
    path: celtia_test.csv
  sep: "\t"
task_categories:
- text-to-speech
language:
- gl
pretty_name: Nos_Celtia-GL
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.

  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.

  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
license: cc-by-4.0
tags:
- female-speaker
---

# 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                    | <ul><li>Journalistic (written) text</li><li>Manually designed sentences (interrogative, lists of numbers...)</li></ul>|
| Nós       | 10,000       |  99,622  | 1-36                    |<ul><li>21,8% transcripts of oral discourse</li><li>17,5% dictionary definitions</li><li>12,7% transcripts of parliamentary speeches</li><li>20% transcripts of news broadcasts</li><li>28% short (<4 words), interrogative, exclamative, imperative, and elliptical sentences</li></ul>|


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](https://huggingface.co/datasets/proxectonos/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 ](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.

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)](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/), and the [Arquivo do Galego Oral](https://ilg.usc.es/ago/) (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](https://www.isca-archive.org/iberspeech_2024/garciadiaz24_iberspeech.html).

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