IbrahimSalah/F5-TTS-Arabic

F5-TTS: Fine-Tuned Arabic Speech Synthesis Model

Improved version of the model can be found here https://huggingface.co/IbrahimSalah/Arabic-F5-TTS-v2

Update 1

the model can not produce high quality audio, the main goal of it is to provide a chekpoint to continue the fine tunning process from. when using please set use_ema=False as it affects the quality. Here is a notebook to try it quickly : https://colab.research.google.com/drive/1kX7HB05CouHa5A-4Wy0UPqMuW4APqDBr?usp=sharing

Update 0

three checkpoints has bee added to the repo , the 380000 is the last , more data is needed to get better results so I will stop the fine tunning till getting more data and then i will proceed the fine tunning.

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.

Samples for now

'''

1- "لكن على ما يبدو ان هناك تصاعد غير مسبوق للاحداث."

2- "لذلك يجب علينا الإتحاد فى وجه كل الصدامات التى قد تؤثر علينا."

3- "كان هناك الكثير من التحديات للوصول إلى الدقه المطلوبة."

''' 1-

2-

3-

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, 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! 🚀