Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- zh
+- en
+base_model:
+- speechbrain/spkrec-ecapa-voxceleb
+tags:
+- agent
+- voice-activity-detection
+---
+
+<div align="center">
+<h1>FireRedChat-pVAD</h1>
+</div>
+<div align="center">
+  <a href="https://fireredteam.github.io/demos/firered_chat/">Demo</a> •
+  <a href="https://arxiv.org/pdf/2509.06502">Paper</a> •
+  <a href="https://huggingface.co/FireRedTeam">Huggingface</a>
+</div>
+
+## Descriptions
+FireRedChat's personalized Voice Activity Detection (pVAD) model, an open-weight model for detecting voice activity with speaker embedding updates.. [LiveKit plugin available here](https://github.com/fireredchat-submodules/livekit-plugins-fireredchat-pvad)
+
+- Supports speaker embedding updates for improved voice activity detection.
+- The plugin requires a compatible LiveKit Agents fork or modification to include `update_speaker` call for the first user utterance.
+
+## Roadmap
+- [x] 2025/09
+  - [x] Release the pVAD model weights and LiveKit plugin.
+
+## Usage
+For inference, please use the [LiveKit plugin](https://github.com/fireredchat-submodules/livekit-plugins-fireredchat-pvad). Install and configure as follows:
+
+```python
+from livekit.plugins import fireredchat_pvad as pvad
+
+def prewarm(proc: JobProcess):
+    proc.userdata["vad"] = pvad.VAD.load(activation_threshold=0.5)
+
+# After the first utterance (or when primary speaker switches based on RMS), call VADStream's update_speaker() to update speaker embedding.
+```
+
+## License
+The model weights and plugin code are licensed under the Apache-2.0 license.
+
+### Acknowledgment
+- Speaker embedding model: speechbrain/spkrec-ecapa-voxceleb
+
+---