VieNeu TTS v2

--- license: apache-2.0 datasets: - pnnbao-ump/VieNeu-TTS-10k-ENVI language: - vi - en pipeline_tag: text-to-speech tags: - podcast - code-switching - voice-cloning --- # 🦜 VieNeu-TTS [](https://github.com/pnnbao97/VieNeu-TTS) [](https://huggingface.co/pnnbao-ump/VieNeu-TTS-v2) [](https://discord.gg/yJt8kzjzWZ) <video controls src="https://cdn-uploads.huggingface.co/production/uploads/68b923a86c86c127a1975eda/q_6GIX5qXs9ZbIwKyy8GS.mp4" width="100%"></video> ## Overview **VieNeu-TTS-v2** is the next generation of Vietnamese TTS, designed for **Natural Communication**, **Podcasts**, and **Bilingual (En-Vi) Code-switching**. > [!IMPORTANT] > **What's new in V2:** > - **10,000+ Hours Data:** Trained on a massive bilingual dataset for unparalleled naturalness. > - **Multi-Speaker Conversation:** Support for podcast-style scripts with distinct voices and emotional nuances. > - **Seamless Code-switching:** High-quality English integration within Vietnamese sentences. > - **Instant Voice Cloning:** Still supports cloning with just **3-5 seconds** of audio. This project features the flagship **VieNeu-TTS-v2** architecture: - **VieNeu-TTS-v2 (0.3B):** Optimized for high-fidelity bilingual speech and long-form content. - **VieNeu-TTS-v2-Turbo:** Optimized for ultra-low latency and CPU deployment using GGUF. Tác giả: **Phạm Nguyễn Ngọc Bảo** ## ☕ Support This Project Training high-quality TTS models requires significant GPU resources. If you find this model useful, please consider supporting the development: [](https://buymeacoffee.com/pnnbao) --- ## 🔥 Quick Start (Web UI) ```bash git clone https://github.com/pnnbao97/VieNeu-TTS.git cd VieNeu-TTS # Install uv (if you haven't) # Windows: powershell -c "irm https://astral.sh/uv/install.ps1 | iex" # Linux/macOS: curl -LsSf https://astral.sh/uv/install.sh | sh # Install dependencies & Run uv sync --group gpu uv run vieneu-web ``` --- ## 📦 Using Python SDK (vieneu) Install the SDK to integrate VieNeu-TTS-0.3B into your research or applications: ```bash # Windows (Avoid llama-cpp...