vieneu 2.1.1

Advanced on-device Vietnamese TTS with instant voice cloning

🦜 VieNeu-TTS

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

✨ 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.

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📦 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/

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🚀 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!")

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🔬 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

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🤝 Support & Links

• GitHub: pnnbao97/VieNeu-TTS
• Hugging Face: pnnbao-ump
• Discord: Join our community

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Made with ❤️ for the Vietnamese TTS community