F5-TTS: Fine-Tuned Arabic Speech Synthesis Model
License: CC BY-NC 4.0
Base Model: SWivid/F5-TTS

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 Common Voice Arabic Dataset, a crowdsourced dataset featuring diverse Arabic accents and dialects. Additional datasets may be incorporated in future updates to improve dialectal coverage and pronunciation accuracy.

Model Information
Base Model: SWivid/F5-TTS
Current Status: Ongoing fine-tuning (Temporary Checkpoints Available)
Training Configuration:
Batch Size: TBD
Max Samples: TBD
Training Steps: TBD
(Final training parameters will be updated upon completion of fine-tuning.)
Usage Instructions
To use the fine-tuned Arabic model, follow these steps:

Method 1: Manual Model Replacement
Run the F5-TTS Application
Start the application and locate the model file path displayed in the terminal. Example:
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model : C:\Users\yourname\.cache\huggingface\hub\models--SWivid--F5-TTS\snapshots\995ff41929c08ff968786b448a384330438b5cb6\F5TTS_Base\model_1200000.safetensors
Replace the Model File
Navigate to the displayed file location.
Rename the existing model file:
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model_1200000.safetensors → model_1200000.safetensors.bak
Download the Arabic checkpoint and vocabulary files from this repository and place them in the same directory.
Restart the Application
Relaunch the F5-TTS application to load the Arabic fine-tuned model.
Alternative Methods
GitHub Repository: Follow the F5-TTS setup instructions, 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.
If you have any questions or suggestions, feel free to reach out! 🚀