datasets:
- mozilla-foundation/common_voice_17_0
language:
- ar
base_model:
- SWivid/F5-TTS
pipeline_tag: text-to-speech
tags:
- speech
- f5-tts
- arabic
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 Common Voice Arabic Dataset 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! 🚀