phoonnx_pt-PT_dii_tugaphone
This is a text-to-speech voice model for European Portuguese. The voice is Dii, a female voice. It uses the phoonnx VITS architecture with the tugaphone Portuguese phonemizer, exported to ONNX for CPU inference. It was fine-tuned from the base voice pipertts_pt-PT_dii, the closest available language for this voice.
Model details
| Field | Value |
|---|---|
| Repository | Phoonnx/phoonnx_pt-PT_dii_tugaphone |
| Voice id | OpenVoiceOS/phoonnx_pt-PT_dii_tugaphone |
| Languages | pt-PT |
| Architecture | VITS |
| Text input | tugaphone phonemes, IPA alphabet |
| Punctuation | Not recorded in the config. phoonnx removes punctuation before synthesis. The training code passed the punctuation tokens of tugaphone 0.0.x to the model. |
| Sample rate | 22050 Hz |
| Speakers | 1 |
| Training code | phoonnx, version stamp 0.2.7a1 (the version string of the training code; a development build carries the stamp of an earlier release) |
| Phonemizer | tugaphone, version not recorded. If a released tugaphone was used, it was at most 0.0.2 (released 2025-10-12), the newest release before the model was first uploaded on 2025-10-13. |
| Training data | Phoonnx/tts-train-synthetic-dii_pt-PT_v2 |
| Base model | Phoonnx/pipertts_pt-PT_dii |
| Training checkpoint | epoch=655-step=89216.ckpt, in this repository for fine-tuning |
| Trained by | TigreGotico Lda |
| Licence | CC BY-NC-ND 4.0 |
How to use
Install phoonnx:
pip install --pre phoonnx "scriptconv[pt-phonemizers]"
Then run:
import wave
from phoonnx.model_manager import TTSModelManager
manager = TTSModelManager()
manager.load()
manager.merge_default_voices()
voice = manager.voices["OpenVoiceOS/phoonnx_pt-PT_dii_tugaphone"].load()
with wave.open("output.wav", "wb") as wav_file:
voice.synthesize_wav("Bom dia, como está?", wav_file)
In OVOS, phoonnx installs the ovos-tts-plugin-phoonnx plugin. Select this voice in
mycroft.conf:
{
"tts": {
"module": "ovos-tts-plugin-phoonnx",
"ovos-tts-plugin-phoonnx": {
"voice": "OpenVoiceOS/phoonnx_pt-PT_dii_tugaphone"
}
}
}
Training data
Trained on Phoonnx/tts-train-synthetic-dii_pt-PT_v2.
Related links
- Training-data collection: https://huggingface.co/collections/TigreGotico/synthetic-tts-datasets
- phoonnx: https://github.com/TigreGotico/phoonnx
- voiceclonnx: https://github.com/TigreGotico/voiceclonnx
- TigreGotico: https://tigregotico.pt
Ownership and licensing
Miro and Dii are the recorded voices of two real people. The voices, the training data, and this model belong to TigreGotico Lda (https://tigregotico.pt).
This model is licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 (CC BY-NC-ND 4.0). You may use and share this model for non-commercial purposes only. Give attribution to TigreGotico Lda. Do not modify, adapt, or build new models from this model. Do not use the voice identity to create derivative voices.
For commercial use, for derivative models, or for any other license of the Miro or Dii voice identity, contact TigreGotico Lda.
Model tree for Phoonnx/phoonnx_pt-PT_dii_tugaphone
Base model
Phoonnx/pipertts_pt-PT_dii