vieneu 2.4.3

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+.
• Instant Voice Cloning: Clone any voice with just 3-5s of reference audio (Turbo v2 & GPU modes).
• Ultra-Fast Turbo Mode: Optimized for CPU (GGUF) and GPU (LMDeploy). Extremely fast inference!
• 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/

---

🚀 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()

# 1. Simple synthesis (uses default 'Xuân Vĩnh')
text = "Hệ thống điện chủ sử dụng alternating current because it is more efficient."
audio = tts.infer(text=text)
tts.save(audio, "output.wav")

# 2. Using a specific Preset Voice
voices = tts.list_preset_voices()
# Select 'Bắc (Nam miền Bắc)' ID
my_voice_id = voices[1][1] if len(voices) > 1 else voices[0][1]
voice_data = tts.get_preset_voice(my_voice_id)

audio_custom = tts.infer(text="Tôi đang nói bằng giọng của anh Bình.", voice=voice_data)
tts.save(audio_custom, "output_custom.wav")

🦜 Zero-shot Voice Cloning (SDK)

from vieneu import Vieneu
tts = Vieneu()

# 1. Encode reference audio (3-5s wav/mp3)
my_voice = tts.encode_reference("path/to/voice.wav")

# 2. Synthesize with cloned voice (No ref text needed for v2!)
audio = tts.infer(text="Chào bạn, đây là giọng của tôi.", voice=my_voice)
tts.save(audio, "cloned.wav")

---

🔬 Model Overview

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

---

🤝 Support & Links

• GitHub: pnnbao97/VieNeu-TTS
• Discord: Join our community

Made with ❤️ for the Vietnamese TTS community