README.md

---
language:
- ar
base_model:
- SWivid/F5-TTS
pipeline_tag: text-to-speech
tags:
- speech
- f5-tts
- arabic
datasets:
- MBZUAI/ClArTTS
---
# F5-TTS: Fine-Tuned Arabic Speech Synthesis Model

## Overview
This project fine-tunes the F5-TTS model for high-quality Arabic speech synthesis, incorporating regional diversity in pronunciation and accents. The fine-tuning process is ongoing, and temporary checkpoints are provided as progress updates. Future iterations will include improved models with enhanced accuracy and naturalness.

## License
This model is released under the **CC BY-NC 4.0** license, which allows free usage, modification, and distribution for **non-commercial** purposes.

## Datasets
Training is based on the **MBZUAI/ClArTTS** so basically the model support MSA
## Model Information
- **Base Model:** SWivid/F5-TTS  
- **Current Status:** Ongoing fine-tuning (Temporary Checkpoints Available)  
- *(Final training parameters will be updated upon completion of fine-tuning.)*

## Usage Instructions
To use the fine-tuned Arabic model, follow these steps:


### Usage 
- **GitHub Repository:** Follow the [F5-TTS setup instructions](https://github.com/SWivid/F5-TTS), but replace the default model with the Arabic checkpoint and vocabulary files provided here.

## Contributions & Collaboration
This model is a **work in progress**, and community contributions are highly encouraged! Suggestions, improvements, and dataset contributions are welcome to refine its performance across different Arabic dialects.

### Recommendations for Better Results
- Use **clear reference audio** with minimal background noise.  
- Ensure **balanced audio levels** for improved synthesis quality.  
- Contributions in **dataset expansion** and **model evaluation** are highly valuable.
### Acknowledgment 
- This work is done using **Zewail City of science and technology machine**

  
If you have any questions or suggestions, feel free to reach out! 🚀