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README.md

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+---
+license: apache-2.0
+language:
+- vi
+---
+
+# VieNeu-Codec: The Heart of VieNeu-TTS v2
+
+**VieNeu-Codec** is the high-performance audio engine built specifically for the upcoming **VieNeu-TTS v2**. It is a neural audio codec trained on over **20,000 hours** of diverse Vietnamese and English speech data, ensuring state-of-the-art robustness, natural prosody, and crystal-clear audio reconstruction.
+
+This repository provides the optimized ONNX versions of the VieNeu-Codec for production use.
+
+## 🚀 Key Features
+
+- **24kHz High-Fidelity**: Crystal clear audio reconstruction optimized for the Vietnamese language.
+- **Zero-Shot Voice Cloning**: Clone any voice with just 5 seconds of reference audio.
+- **Optimized for VieNeu-TTS v2**: Seamlessly integrates with the next-generation LLM backbone of VieNeu-TTS.
+- **Two Deployment Modes**: Includes both FP32 (High Quality) and INT8 (High Speed) decoders.
+
+## 📦 Model Components
+
+- **`vieneu_decoder.onnx`**: (FP32) High-fidelity audio decoder for maximum quality.
+- **`vieneu_decoder_int8.onnx`**: (INT8) Quantized decoder for fast CPU inference.
+
+## 🛠️ Usage
+
+### Synthesize Speech
+Combine the speaker embedding with content tokens from your LLM (VieNeu-TTS v2):
+```python
+sess_dec = ort.InferenceSession("vieneu_decoder.onnx")
+audio = sess_dec.run(None, {
+    "content_ids": ids,
+    "voice": embedding
+})[0]
+```
+
+## 📄 License & Attribution
+Author: **Pham Nguyen Ngoc Bao**  
+Project: **VieNeu-Codec (for VieNeu-TTS v2)**  
+Version: 2.0

vieneu_decoder.onnx

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vieneu_decoder_int8.onnx

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vieneu_encoder.onnx

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