Sofelia TTS 82M

--- license: apache-2.0 language: - ar pipeline_tag: text-to-speech tags: - text-to-speech - tts - arabic - palestinian-arabic - kokoro - styletts2 library_name: kokoro --- # Sofelia TTS 82M A **Palestinian Arabic** text-to-speech model — Kokoro-82M fine-tuned for the Levantine/Palestinian dialect. Ships a single natural female voice, **Eliaa**. - **Architecture:** Kokoro-82M (StyleTTS2 backbone, ISTFTNet vocoder), 82M params - **Sample rate:** 24 kHz - **Speaker:** `Eliaa` (`voices/eliaa.pt`) - **Runs on CPU** in real time (RTF ≈ 0.15–0.34 on 4 threads) ## Why a custom frontend espeak-ng's Arabic G2P assumes Modern Standard Arabic and mis-handles dialect text. `sofelia_frontend.py` fixes the systematic problems before phonemization: - Arabic punctuation (`،؛؟`) → Latin so the model receives pause/question cues - word-final `ة` wrongly read as `/t/` for out-of-lexicon words → bare fatha (`a`) - a Palestinian pronunciation lexicon (`ar_lexicon.json`) for words espeak mis-reads or strips vowels from (`هيك`, `وين`, `تنين`, `قلت`, `معلش`, …) - post-G2P remap of phonemes outside Kokoro's 178-token vocab (`ħ→ʰ`, `ʕ→ʁ`, `ˤ→ᵊ`) ## Usage ```bash pip install kokoro misaki espeakng-loader phonemizer-fork soundfile torch python inference.py "بدي أروح ع السوق أشتري خضرة وفواكه للبيت." ``` Arabic has no Kokoro `lang_code`, so phonemize with misaki espeak-ng `ar` (+ the Sofelia frontend) and call `KModel` directly — see `inference.py`. ## Files | File | Purpose | |---|---| | `kokoro_sofelia_82M.pth` | model weights (Kokoro KModel format) | | `config.json` | Kokoro config (178-token vocab) | | `voices/eliaa.pt` | Eliaa speaker voicepack `[510, 1, 256]` | | `sofelia_frontend.py` | Palestinian Arabic text frontend | | `ar_lexicon.json` | dialect pronunciation lexicon (extensible) | | `inference.py` | minimal end-to-end example | ## Limitations - Numbers/dates/times are read via espeak's MSA expansion; a dialect number normalizer is planned. Spell numbers out for best results. - Single voice (Eliaa). The lexicon is small and community-extensible — add `surface_word: diacritized_form` entries to fix new words. ## Credits Fine-tuned from [hexgrad/Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M) with a patched StyleTTS2 recipe. Dialect voice data: Sofelia Palestinian TTS.

Source context: 78 downloads · 3 likes · Pipeline text-to-speech · Library kokoro · Repo hamdallah/Sofelia-TTS-82M