Vekol Tts Ckb Edge
Piper (VITS) 22.05 kHz ONNX edge model for Central Kurdish (Sorani). Runs on CPU / edge devices.
Source du modèle
- Type
- Other
- Taille du fichier
- 73,5 MB
- Version
- vRevision 64037eb
- Mis à jour
- 10 oct. 2026
- Téléchargements
- 0
- Source
- Hugging Face
Description de la source
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.
Sources
1 source
Sources
1 sourceVérifié 22 août
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactExtraits de sources
2 extraits
Extraits de sources
2 extraits--- license: cc-by-nc-4.0 language: [ckb] pipeline_tag: text-to-speech library_name: piper pretty_name: Vekol Piper edge (ckb) tags: [kurdish, sorani, central-kurdish, ckb, tts, text-to-speech, speech, piper, vits, onnx, edge] --- # 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.
Source context: 0 downloads · 0 likes · Pipeline text-to-speech · Library piper · Repo RevgeAI/vekol-tts-ckb-edge
