Instructions to use RevgeAI/vekol-tts-ckb-edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use RevgeAI/vekol-tts-ckb-edge with Piper:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Vekol Piper edge (ckb)
Piper (VITS) 22.05 kHz ONNX edge model for Central Kurdish (Sorani). Runs on CPU / edge devices.
By Revge / Vekol ( ڕێڤگە / ڤەکۆڵ ).
Training data
Resumed from a Central Kurdish base, then trained on the Vekol voice plus teacher-distilled audio, with weak-letter balanced oversampling.
| Stage | Data | Hours | Clips |
|---|---|---|---|
| Base | DB1 + DB2 (Central Kurdish corpora) | 27.33 h | 11,694 |
| Fine-tune — real | Vekol voice | ~59 min | 397 sentences |
| Fine-tune — distilled | teacher (Vekol) | ~3 h | ~1,500 |
Weak letters (گ ڤ ح غ) are oversampled ×2; long-text tail-hallucination fixed in inference.
Usage
model.onnx + model.onnx.json with the Piper runtime, or the included vekol_tts.py helper.
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