Leva Tts

--- language: - ar - en license: cc-by-nc-4.0 library_name: coqui pipeline_tag: text-to-speech tags: - text-to-speech - tts - xtts - xtts-v2 - arabic - levantine - code-switching - voice-cloning - streaming base_model: - coqui/XTTS-v2 datasets: - mohammedaly22/lahgtna-levantine-tts --- <div align="center"> <img src="https://huggingface.co/mohammedaly22/leva-tts/resolve/main/docs/LevaTTS-Banner-Image.png" alt="Leva-TTS — Levantine Arabic ⇄ English Text-to-Speech" width="100%"> </div> --- <div align="center"> # 🌿 Leva-TTS — Low-Latency Code-Switching TTS (Levantine Arabic ⇄ English) *A production-oriented Levantine Text-to-Speech model — a fine-tuned **XTTS-v2** optimized for real-time conversational agents.* [](https://mohammedaly22.github.io/Leva-TTS/) [](https://github.com/MohammedAly22/Leva-TTS) [](https://huggingface.co/spaces/mohammedaly22/Levantine-Zero-Shot-TTS) [](https://huggingface.co/datasets/mohammedaly22/lahgtna-levantine-tts) [](https://pypi.org/project/leva-tts/) [](https://colab.research.google.com/github/MohammedAly22/Leva-TTS/blob/main/examples/01_quick_start.ipynb) | 🎯 KPI | Target | **Measured** | Status | |---|---|---|---| | Peak VRAM (inference) | ≤ 3 GB | **2.13 GB** | ✅ | | Time-to-First-Audio (p50) | < 300 ms | **565 ms** | ⚠️ | | Real-Time Factor (RTF) | < 0.3 | **0.21** | ✅ | | Streaming output | required | **chunked PCM + WS** | ✅ | </div> --- **Leva-TTS** is a text-to-speech model for **Levantine Arabic / English code-switching**, built by fine-tuning [XTTS-v2](https://huggingface.co/coqui/XTTS-v2) on **50,000 synthetic utterances** generated with [Lahgtna-OmniVoice v2](https://huggingface.co/oddadmix/lahgtna-omnivoice-v2). It handles natural intra-sentence switching between Levantine dialect and English, supports **10 built-in speakers** and **zero-shot voice cloning**, and offers a **streaming** generator for low-latency conversational use. - **Base model:** `coqui/XTTS-v2`...