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Advanced on-device Vietnamese TTS with instant voice cloning

Project description

🦜 VieNeu-TTS

VieNeu-TTS is an advanced on-device Vietnamese Text-to-Speech (TTS) model with instant voice cloning and English-Vietnamese bilingual support.

Hugging Face v2 Turbo License

✨ Key Features

  • Bilingual (English-Vietnamese): Seamless transitions between languages (Code-switching) in version 2.0+.
  • Ultra-Fast Turbo Mode: Optimized for CPU/Mobile using GGUF and ONNX. No dedicated GPU required!
  • Instant Voice Cloning: Clone any voice with just 3-5s of reference audio (GPU mode).
  • Production Ready: High-fidelity 24 kHz audio generation, fully offline.
  • AI Identification: Built-in audio watermarking for responsible AI use.

📦 Quick Install

# Minimal installation (Turbo/CPU Only)
pip install vieneu

# Optional: Pre-built llama-cpp-python for CPU (if building fails)
pip install vieneu --extra-index-url https://pnnbao97.github.io/llama-cpp-python-v0.3.16/cpu/

# Optional: macOS Metal acceleration
pip install vieneu --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/metal/

🚀 Quick Start (Python SDK)

The SDK now defaults to Turbo mode for maximum out-of-the-box compatibility.

from vieneu import Vieneu

# Initialize - Minimal dependencies required!
tts = Vieneu()

# Synthesis with Bilingual support (Vietnamese + English)
text = "Trước đây, hệ thống điện chủ yếu sử dụng direct current, nhưng Tesla đã chứng minh rằng alternating current is more efficient."
audio = tts.infer(text=text)

# Save output
tts.save(audio, "output.wav")
print("💾 Saved synthesis to output.wav")

Advanced Usage (Remote API)

Connect to a remote VieNeu-TTS server without loading heavy models locally:

tts = Vieneu(mode='remote', api_base='http://your-server:23333/v1')
audio = tts.infer(text="Xin chào!")

🔬 Model Overview

Model Format Device Bilingual Cloning Speed
VieNeu-v2-Turbo GGUF/ONNX CPU/GPU ❌ (Ssoon) Extreme
VieNeu-TTS-v2 PyTorch GPU Standard (Ssoon)
VieNeu-TTS 0.3B PyTorch GPU/CPU Very Fast
VieNeu-TTS PyTorch GPU/CPU Standard

🤝 Support & Links


Made with ❤️ for the Vietnamese TTS community

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