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pnnbao-ump/VieNeu-TTS-1000h

pnnbao-ump/VieNeu-TTS-140h

pnnbao-ump/VieNeu-TTS

quantized

apache-2.0

endpoints_compatible

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VieNeu-TTS

Overview

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

Trained on ~1000 hours of high-quality Vietnamese speech, this model represents a significant upgrade from VieNeu-TTS-140h with the following improvements:

Enhanced pronunciation: More accurate and stable Vietnamese pronunciation
Code-switching support: Seamless transitions between Vietnamese and English
Better voice cloning: Higher fidelity and speaker consistency
Real-time synthesis: 24 kHz waveform generation on CPU or GPU

VieNeu-TTS-1000h delivers production-ready speech synthesis fully offline.

Author: Phạm Nguyễn Ngọc Bảo

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Voice Cloning Inference

Reference Voice (Speaker Example):

Input Text:

Trên bầu trời xanh thẳm, những đám mây trắng lửng lờ trôi như những chiếc thuyền nhỏ đang lướt nhẹ theo dòng gió. Dưới mặt đất, cánh đồng lúa vàng rực trải dài tới tận chân trời, những bông lúa nghiêng mình theo từng làn gió.

Generated Output (Cloned Voice):

Installation

bash

git clone https://github.com/pnnbao97/VieNeu-TTS.git
cd VieNeu-TTS
uv sync

Gradio Demo

uv run gradio_app.py

Open your browser at http://127.0.0.1:7860.

Demo Video:

Reference Voices

File	Gender	Accent	Description
Bình (nam miền Bắc)	Male	North	Male voice, North accent
Tuyên (nam miền Bắc)	Male	North	Male voice, North accent
Nguyên (nam miền Nam)	Male	South	Male voice, South accent
Sơn (nam miền Nam)	Male	South	Male voice, South accent
Vĩnh (nam miền Nam)	Male	South	Male voice, South accent
Hương (nữ miền Bắc)	Female	North	Female voice, North accent
Ly (nữ miền Bắc)	Female	North	Female voice, North accent
Ngọc (nữ miền Bắc)	Female	North	Female voice, North accent
Đoan (nữ miền Nam)	Female	South	Female voice, South accent
Dung (nữ miền Nam)	Female	South	Female voice, South accent

Model Architecture

Component	Description
Backbone	Qwen 0.5B (chat-format LM)
Codec	NeuCodec (supports ONNX + quantization)
Output	24 kHz waveform synthesis
Context Window	2048 tokens shared text + speech
Watermark	Enabled
Training Data	VieNeuCodec-dataset + Emilia dataset pretraining

Features

High-quality Vietnamese speech
Instant voice cloning (3–5 second reference audio)
Fully offline
Runs real-time or faster
Multi-voice reference support
Python API + CLI + Gradio

Troubleshooting

Issue	Cause	Solution
Missing `libespeak`	System dependency	Install eSpeak NG
GPU OOM	VRAM too small	Use CPU or quantized model
Poor voice match	Bad reference sample	Try a clearer reference clip

License

Apache 2.0

Citation

bibtex

@misc{vieneutts2025,
  title        = {VieNeu-TTS: Vietnamese Text-to-Speech with Instant Voice Cloning},
  author       = {Pham Nguyen Ngoc Bao},
  year         = {2025},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/pnnbao-ump/VieNeu-TTS}}
}

Please also cite the base model: