3arab TTS 500M v2

--- license: apache-2.0 language: - ar base_model: - sherif1313/3arab-TTS-500M-v1 pipeline_tag: text-to-speech --- <p align="center"> <img src="pic.jpg" width="400"/> <p> <p align="center"> 💜 <a href="https://github.com/sherif1313/3arab-TTS/"><b>Github</b></a>&nbsp&nbsp | &nbsp&nbsp🤗 <a href="https://huggingface.co/sherif1313/">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp📚 <a href="https://github.com/sherif1313/Arabic-English-handwritten-OCR-v3/tree/main">Cookbooks</a>&nbsp&nbsp <br> 🖥️ <a href="https://huggingface.co/spaces/sherif1313/3arab-TTS">Demo</a>&nbsp&nbsp </a> </p> ## 🌍 3arab-TTS An independent Arabic Text-to-Speech (TTS) model based on the **Rectified Flow Diffusion Transformer (RF-DiT)** architecture. The acoustic model was trained entirely from scratch on Arabic speech data using random initialization, with independently developed training and inference pipelines. ## ⚠️ What's New ## Current Version: v2 - ~553M parameters - ~700 hours of Arabic speech - 48 kHz audio generation - DACVAE latent codec - RF-DiT acoustic model Due to the limited availability of large-scale open Arabic speech datasets, a significant portion of the training data was collected from publicly available Arabic content and carefully filtered for quality. The current release does not include integrated audio watermarking. Support for optional SilentCipher watermarking may be added in future inference releases without affecting audio quality. ## The current release demonstrates that open-source Arabic TTS systems can achieve a level of quality and naturalness comparable to many production-grade solutions. With over 700 hours of carefully curated Arabic speech and a large-scale RF-DiT architecture, 3arab-TTS establishes a strong baseline for next-generation Arabic speech synthesis. ## Future versions will focus on: improving expressive speech generation ## 🤝 Community Contributions Welcome Contributions are highly appreciated, including: Arabic speech datasets training improvements inference optimizations bug fixes evaluation & testing documentation improvements # 📊 Technical Specifications & Requirements | Specification | Value / Description | |---|---| | **Total Parameters** | ~553.4 Million | | **Core Architecture** | `model_dim: 1280`, `12` Transformer layers, `20` attention heads, `mlp_ratio: 2.875` | | **Latent Space** | 32-dimensional...