oddadmix/chatterbox-egyptian-v0

Chatterbox Egyptian Arabic (Masri) TTS

Model Summary

Chatterbox Egyptian Arabic (Masri) TTS is a Text-to-Speech model built on top of the Chatterbox Multilingual TTS architecture and configured to generate Egyptian Arabic (Masri) speech.

The model supports:

• Egyptian Arabic text input (language_id = "ar")
• Natural prosody and conversational tone
• Optional reference audio prompting for speaker/style transfer

This repository contains the model checkpoints and assets required for inference.

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Supported Language

• Arabic (ar)
  • Intended usage: Egyptian Arabic (Masri) text
  • Not optimized for Modern Standard Arabic (MSA) pronunciation

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Intended Use

Primary Use Cases

• Egyptian Arabic voice synthesis
• Conversational agents and assistants
• Prototyping Arabic voice UX
• Content creation (narration, demos, accessibility)
• Research and experimentation in Arabic TTS

Out-of-Scope Uses

• Voice impersonation without consent
• Identity spoofing or deceptive content
• Legal, medical, or emergency-critical systems
• Guaranteed accent purity across all Arabic dialects

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Inference Behavior

Input

• Text in Egyptian Arabic
• Maximum recommended length: ~300 characters

Optional Reference Audio

• A short reference clip may be provided to influence:
  • Speaker identity
  • Voice style
  • Prosody

If the reference audio is not Egyptian Arabic, accent leakage may occur.

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Example Usage

import numpy as np
from huggingface_hub import snapshot_download
from chatterbox.mtl_tts import ChatterboxMultilingualTTS

# Select device
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"

# Download model checkpoint
ckpt_dir = snapshot_download(
    repo_id="oddadmix/chatterbox-egyptian-v0",
    repo_type="model",
    revision="main",
)

# Load model
model = ChatterboxMultilingualTTS.from_checkpoint(
    str(ckpt_dir) + "/",
    DEVICE
)

# Optional: move to device explicitly
if hasattr(model, "to"):
    model.to(DEVICE)

# Egyptian Arabic (Masri) text
text = "أنا رايح الشغل دلوقتي وهكلمك أول ما أوصل."

# Generate speech
wav = model.generate(
    text=text,
    language_id="ar",
    temperature=0.8,
    cfg_weight=0.5,
    exaggeration=0.5,
)

# Save output audio
import soundfile as sf
sf.write(
    "egyptian_tts.wav",
    wav.squeeze(0).cpu().numpy(),
    model.sr
)

print("Audio saved as egyptian_tts.wav")

Limitations

• Accent transfer from reference audio can override dialect
• Long-form synthesis may lose prosodic consistency
• Not fine-tuned exclusively on Egyptian-only corpora
• No speaker identity guarantees
• Dialectal spelling variations affect pronunciation

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Ethical Considerations

This model can generate realistic human-like speech.
Users must:

• Disclose synthetic audio where appropriate
• Obtain consent for reference voices
• Avoid misuse for impersonation or deception

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Citation

If you use this model in research or demos, please cite:

@misc{chatterbox_egyptian_tts,
  title={Chatterbox Egyptian Arabic (Masri) Text-to-Speech},
  author={oddadmix},
  year={2025},
  howpublished={\url{https://huggingface.co/oddadmix/chatterbox-egyptian-v0}}
}