TTS Models
Collection
TTS models trained using the CoquiTTS Python library. • 16 items • Updated
Celtia: Nós Project's Galician TTS Model
Model description
Celtia is a Galician TTS model developed by the Nós project. It was trained from scratch using the Matcha-TTS Python library on the corpus Nos_Celtia-GL. This corpus comprises a total of 20,000 sentences recorded by a professional voice talent. Specifically, a subset of 13,000 sentences, corresponding to 15.5 hours of speech, was used to train the model.
The model was trained directly on grapheme inputs, so no phonetic transcription is required. The Cotovía tool can be used to normalize the input text.
Intended uses and limitations
You can use this model to generate synthetic speech in Galician.
Installation
Cotovía
For text normalization, you can use the front-end of Cotovía. This software is available for download on the SourceForge website. The required Debian packages are cotovia_0.5_amd64.deb and cotovia-lang-gl_0.5_all.deb, which can be installed using the following commands:
sudo dpkg -i cotovia_0.5_amd64.deb
sudo dpkg -i cotovia-lang-gl_0.5_all.deb
TTS library
To synthesize speech, you need to install the Coqui TTS library:
pip install matcha-tts
How to use
Command-line usage
The following command normalizes and synthesizes the input text using the Celtia model:
matcha-tts --text "a erupción provoca a emanación de gases á atmosfera." --checkpoint_path celtia.ckpt --vocoder hifigan_univ_v1 --output_folder . --speaking_rate 1
The output synthesized speech is saved to the specified audio file.
For more information, check the Matcha-TTS repo.
Training
Hyperparameter
The model is based on Matcha-TTS proposed by Shivam Mehta et al. The following hyperparameters were set in the Matcha-TTS repository.
| Hyperparameter | Value |
|---|---|
| Model | matcha |
| Batch Size | 32 |
| Precision | 16-mixed |
| Window Length | 1024 |
| Hop Length | 256 |
| FTT size | 1024 |
| Optimizer | adam |
| Learning rate | 0.0001 |
The model was trained for 4,000 epochs.
Additional information
Authors
Antonio Moscoso, Carmen Magariños and Alberto Bugarín.
Contact information
For further information, send an email to proxecto.nos@usc.gal
Licensing Information
Funding
This research was produced within the framework of the Proxecto Nós, funded by the 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, and previously “The Nós project: Galician in the society and economy of Artificial Intelligence”, resulting from the agreement 2021-CP080 between the Xunta de Galicia and the University 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).
Citation information
If you use this model, please cite as follows:
Moscoso, Antonio; Magariños, Carmen; Bugarín-Diz, Alberto. 2026. Nos_TTS-celtia-matcha-graphemes. URL: https://huggingface.co/proxectonos/Nos_TTS-celtia-matcha-graphemes