| --- |
| license: apache-2.0 |
| language: [ar, fr, en] |
| tags: [text-to-speech, tts, f5-tts, silma-tts, tunisian, derja, arabic] |
| base_model: silma-ai/silma-tts |
| --- |
| |
| # SILMA TTS — Tunisian Derja fine-tune (v2, quality-focused) |
|
|
| Fine-tune of [silma-ai/silma-tts](https://huggingface.co/silma-ai/silma-tts) on the |
| [LinTO Tunisian dataset](https://huggingface.co/datasets/linagora/linto-dataset-audio-ar-tn). |
|
|
| **v2 recipe:** speaker_mode=`multi` (single≈`AbdelAzizErwi`), moderate text |
| normalization, audio-quality filtering (SNR≥8.0dB), phonemization=False, |
| 15 epochs. Targets pronunciation/vowel/consonant quality by improving the *signal* |
| rather than the architecture. Deploy **raw** or **EMA** weights per the A/B in §8. |
| |
| ## Usage |
| Load with the F5-TTS v1.1.7 / SILMA pipeline: `model.pt` + `vocab.txt` + `config.yaml`. |
| The `vocab.txt` here matches this run (SILMA char vocab, or phonemized vocab if piloted). |
| |
| ## Attribution (required — CC BY 4.0) |
| ```bibtex |
| @misc{linagora2024Linto-tn, |
| title={LinTO Audio and Textual Datasets to Train and Evaluate Automatic Speech Recognition in Tunisian Arabic Dialect}, |
| author={Hedi Naouara and Jerome Louradour and Jean-Pierre Lorre}, |
| year={2025}, eprint={2504.02604}, archivePrefix={arXiv}, primaryClass={cs.CL} |
| } |
| ``` |
| Base: SILMA TTS (Apache-2.0). Data: LinTO (CC BY 4.0). |
| |
| ## Responsible use |
| Voice cloning requires documented speaker consent. Do not use for deception or impersonation. |
| |
