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itzune/
antton-tts

Name: antton-tts
Rating: 2.5 (10 reviews)

itzune/antton-dataset

HiTZ/TTS-eu_antton

quantized

apache-2.0

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Basque TTS: Antton (Piper Version)

This repository contains a Piper compatible version of the Antton Basque text-to-speech model. The original model was developed by HiTZ Basque Center for Language Technology - Aholab Signal Processing Laboratory (University of the Basque Country UPV/EHU).

This version has been exported/trained specifically for use with the Piper TTS engine, a fast, local neural text-to-speech engine.

Model Details

Language: Basque (eu)
Speaker: Antton (Male)
Architecture: VITS (Optimized for Piper)
Original Credits: HiTZ Center / Aholab (Project ILENIA)
Format: Piper (.onnx and .onnx.json config)

Training Details

Dataset: itzune/antton-dataset
Data Volume: 99,996 high-quality audio samples (~100k files).
Architecture: VITS
Training Engine: Piper (PyTorch Lightning)
Iterations: 22 epochs (258,750 steps)
Sample Rate: 22050 Hz
Phonemization: espeak-ng (Basque)

Data Source & Dataset Integration

This model has been fine-tuned/trained using the antton_dataset, a large-scale Basque speech corpus specifically curated for high-fidelity synthesis.

Link to Dataset: Antton Dataset on Hugging Face
Dataset structure: The data was processed using WebDataset (sharded .tar files) to handle the 100k samples efficiently after the Piper training process.
Content: Each audio file is paired with its corresponding Basque transcription in a metadata.csv file, ensuring precise alignment during the 22 epochs of training.

Files Included

eu-antton-medium.onnx: The exported model for fast inference.
eu-antton-medium.onnx.json: The configuration file (includes phoneme map and synthesis settings).
epoch=22-step=258750.ckpt: The PyTorch Lightning checkpoint from the 22nd iteration (useful for further training/fine-tuning).

Usage

Using Piper CLI

You can run the model locally using the Piper binary:

bash

echo "Kaixo, hau Antton da, Piper motorra erabiliz euskaraz hitz egiten." | \
  ./piper --model eu-antton-medium.onnx --output_file output.wav

Python API

Python

from piper.voice import PiperVoice

voice = PiperVoice.load("eu-antton-medium.onnx", "eu-antton-medium.onnx.json")
with open("output.wav", "wb") as f:
    voice.synthesize_wav("Gaur egun eguzkitsua dugu.", f)

Original Model & Data Source

The base model belongs to the Aholab TTS collection. All voices in this collection are based on the VITS architecture proposed by Kim et al. (2021).

Maider & Antton: Developed by HiTZ with funding from Project ILENIA.

License: Public Creative Commons Attribution 4.0 (for the voice resource) and Apache License 2.0 (for the code/model).

Authors & Credits

The original Antton model was created by: HiTZ Basque Center for Language Technology - Aholab Signal Processing Laboratory, University of the Basque Country EHU.

itzune/antton-tts