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README.md

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+---
+license: apache-2.0
+language:
+- eu
+base_model:
+- HiTZ/TTS-eu_antton
+pipeline_tag: text-to-speech
+tags:
+- TTS
+- speech-synthesis
+- Basque
+- piper
+datasets:
+- itzune/antton-dataset
+---
+
+# Basque TTS: Antton (Piper Version)
+
+This repository contains a [Piper](https://github.com/OHF-Voice/piper1-gpl) 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](https://huggingface.co/datasets/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](https://huggingface.co/datasets/itzune/antton-dataset)
+- **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.

config.json

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+}

epoch=23-step=270000.ckpt

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