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OpenVoiceOS/phoonnx-chatterbox-lahgtna
phoonnx-chatterbox-lahgtna is a text-to-speech model from OpenVoiceOS. Use it when you need text read aloud. It is set up for phoonnx. The card lists the license as mit.
Mirror of Lahgtna, a Chatterbox fine-tune specialized for spoken Arabic dialects, exported to ONNX for phoonnx, OpenVoiceOS's offline TTS library. It is fine-tuned from Chatterbox Multilingual
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Updated Aug 3, 2026
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From the Hugging Face model README
Mirror of Lahgtna, a
Chatterbox fine-tune specialized for spoken Arabic dialects, exported to
ONNX for phoonnx, OpenVoiceOS's
offline TTS library. It is fine-tuned from
Chatterbox Multilingual
and shares its architecture: an autoregressive Llama-backbone codec-LM with
zero-shot cloning from an untranscribed reference clip and an
exaggeration control. See
docs/training/engines/chatterbox.md
and docs/cloning.md.
Ten dialect codes are exposed as separate voice IDs, one per Arabic-speaking
region: Egypt (eg), Saudi Arabia (sa), Morocco (mo), Iraq (iq),
Lebanon (lb), Sudan (sd), Libya (ly), Syria (sy), Tunisia (tn), and
Palestine (ps). All map to the same underlying language_model_q4.onnx
graph in this repository; the dialect selection happens in text
normalization/tokenization, not a different model per dialect.
Related repositories: phoonnx-chatterbox (base English), phoonnx-chatterbox-turbo (faster GPT-2-based variant), phoonnx-chatterbox-multilingual (the base this was fine-tuned from).
Cloning support requires pip install phoonnx[cloning].
import wave
from phoonnx.model_manager import TTSModelManager
manager = TTSModelManager()
manager.load()
manager.merge_default_voices()
voice = manager.voices["chatterbox/lahgtna/eg"].load()
with wave.open("out.wav", "wb") as wav_file:
voice.synthesize_wav(
"أهلاً، إزيك؟",
wav_file,
speaker_reference="reference.wav", # optional: clone this speaker
)
Lahgtna is released by its authors (oddadmix)
under the MIT license, the same license as the Chatterbox base and
multilingual models it descends from. phoonnx itself is Apache-2.0.