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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) with instant voice cloning and English–Vietnamese bilingual support. The SDK defaults to VieNeu-TTS v3 Turbo (48 kHz) and the minimal install is torch-free — on CPU it runs entirely on ONNX Runtime.

Hugging Face v3 Turbo License

✨ Key Features

  • v3 Turbo, 48 kHz — high-fidelity, natural Vietnamese speech (default).
  • Torch-free on CPU — minimal install runs on ONNX Runtime; PyTorch is never imported.
  • Built-in default voices — call them by name, no reference clip needed.
  • Instant voice cloning — clone any voice from 3–5s of audio.
  • Emotion cues (experimental) — drop [cười], [thở dài], [hắng giọng] into the text.
  • Bilingual (En–Vi) code-switching, fully offline.

📦 Install

# Minimal, TORCH-FREE — runs v3 Turbo on CPU via ONNX Runtime
pip install vieneu

# Optional: GPU + older backends (v1/v2 PyTorch & GGUF, v3 Turbo on GPU)
pip install "vieneu[gpu]"

🚀 Quick Start (Python SDK)

from vieneu import Vieneu

# Default = v3 Turbo. CPU → ONNX (torch-free); GPU → PyTorch (auto-detected).
tts = Vieneu()

# 1. Default voice (Ngọc Lan) — 48 kHz, no reference needed
audio = tts.infer("Xin chào, đây là VieNeu-TTS phiên bản ba Turbo.")
tts.save(audio, "output.wav")

# 2. Built-in voices by name
for label, voice_id in tts.list_preset_voices():
    print(label, voice_id)
audio = tts.infer("Mình là Xuân Vĩnh nè!", voice="Xuân Vĩnh")

# 3. Emotion / non-verbal cues — EXPERIMENTAL: [cười] [thở dài] [hắng giọng]
audio = tts.infer("Nghe hay quá đi [cười]. Để mình nói tiếp [hắng giọng].", voice="Ngọc Linh")

🦜 Zero-shot Voice Cloning

from vieneu import Vieneu
tts = Vieneu()

# Clone straight from a 3–5s clip — no reference transcript needed.
audio = tts.infer(text="Chào bạn, đây là giọng của tôi.", ref_audio="path/to/voice.wav")
tts.save(audio, "cloned.wav")

Older models (v1 / v2 — requires pip install "vieneu[gpu]")

tts = Vieneu(mode="standard")   # v2 GGUF, bilingual, podcast
tts = Vieneu(mode="turbo")      # v2 Turbo, fastest

🔬 Model Overview

Model Engine Device Sample Rate Features
VieNeu-TTS v3 Turbo (default) ONNX (CPU) / PyTorch (GPU) CPU/GPU 48 kHz Default voices, cloning, emotion cues
VieNeu-TTS v2 PyTorch / GGUF GPU/CPU 24 kHz Bilingual, podcast ([gpu])
VieNeu-TTS v1 PyTorch GPU/CPU 24 kHz Stable, Vietnamese ([gpu])

🤝 Support & Links

Made with ❤️ for the Vietnamese TTS community

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