Update README.md

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 ---
 <div align="center">
 
-<img src="./TenSense/TenSense/image/Baiji_Team.png" alt="Baiji Team Logo" width="1000" height="450"/>
+<img src="./image/Baiji_Team.png" alt="Baiji Team Logo" width="1000" height="450"/>
 
 <br/>
 
@@ -19,7 +19,7 @@ license: apache-2.0
 <br/>
 
 [![GitHub](https://img.shields.io/badge/GitHub-brgroup--Team/TurnSense-181717?style=for-the-badge&logo=github)](https://github.com/Bairong-Xdynamics/TurnSense)
-[![Hugging Face](https://img.shields.io/badge/🤗_Hugging_Face-brgroup--Team-yellow?style=for-the-badge)](https://huggingface.co/brgroup/TenSense)
+[![Hugging Face](https://img.shields.io/badge/🤗_Hugging_Face-brgroup--Team-yellow?style=for-the-badge)](https://huggingface.co/brgroup/TurnSense)
 [![License](https://img.shields.io/badge/License-Apache_2.0-blue?style=for-the-badge)](./LICENSE)
 [![PRs Welcome](https://img.shields.io/badge/PRs-Welcome-brightgreen?style=for-the-badge)](https://github.com/Bairong-Xdynamics/TurnSense)
 
@@ -84,7 +84,7 @@ license: apache-2.0
 Traditional approaches typically rely on a simple binary classification — "finished or not." **TurnSense goes further** by simultaneously modeling semantic completeness and invalid input detection, enabling more natural turn-taking in complex real-world scenarios and **significantly reducing false interruptions, premature responses, and noise-triggered activations**.
 
 <div align="center">
-  <img src="./TenSense/TenSense/image/TurnSense.svg" alt="TurnSense Three-Class Illustration" width="820"/>
+  <img src="./image/TurnSense.svg" alt="TurnSense Three-Class Illustration" width="820"/>
 </div>
 
 <br/>
@@ -150,7 +150,7 @@ Standardized repository structure with FP32 / INT8 ONNX models — from installa
 | TEN-Turn | **7B** | ❌ | [TEN-framework/TEN_Turn_Detection](https://huggingface.co/TEN-framework/TEN_Turn_Detection) |
 | Easy-Turn | 850M | ❌ | [ASLP-lab/Easy-Turn](https://huggingface.co/ASLP-lab/Easy-Turn) |
 | NAMO-Turn-Detector (ZH) | 66M | ❌ | [videosdk-live/Namo-Turn-Detector-v1-Multilingual](https://huggingface.co/videosdk-live/Namo-Turn-Detector-v1-Multilingual) |
-| **⭐ TurnSense** | **47M** | **✅** | [**Baiji-Team/TurnSense**](https://huggingface.co/brgroup/TenSense) |
+| **⭐ TurnSense** | **47M** | **✅** | [**Baiji-Team/TurnSense**](https://huggingface.co/brgroup/TurnSense) |
 | Smart-Turn-v3 | 8M | ❌ | [pipecat-ai/smart-turn-v3](https://huggingface.co/pipecat-ai/smart-turn-v3) |
 | FireRedChat-turn-detector | -- | ❌ | [FireRedTeam/FireRedChat-turn-detector](https://huggingface.co/FireRedTeam/FireRedChat-turn-detector) |
 
@@ -233,7 +233,7 @@ pip install -U numpy onnxruntime torch librosa soundfile pandas scikit-learn hug
 
 ### 2. Model Weights
 
-TurnSense model weights are available on Hugging Face: [Baiji-Team/TurnSense](https://huggingface.co/brgroup/TenSense)
+TurnSense model weights are available on Hugging Face: [Baiji-Team/TurnSense](https://huggingface.co/brgroup/TurnSense)
 
 | Version | Size | Use Case |
 | :--- | :--- | :--- |
@@ -249,7 +249,7 @@ The inference script includes built-in Hugging Face download logic. The model wi
 
 ```bash
 git lfs install
-git clone https://huggingface.co/brgroup/TenSense
+git clone https://huggingface.co/brgroup/TurnSense
 ```
 
 **Option 3: Hugging Face Hub**
@@ -340,7 +340,7 @@ If you use TurnSense in your research or product, please cite:
   title        = {TurnSense: A Three-Class Semantic Detection Model for Complete, Incomplete, and Invalid Utterances},
   year         = {2026},
   publisher    = {Hugging Face},
-  howpublished = {\url{https://huggingface.co/brgroup/TenSense}},
+  howpublished = {\url{https://huggingface.co/brgroup/TurnSense}},
 }
 ```
 
@@ -354,7 +354,7 @@ If you have questions or suggestions, feel free to reach out:
 | :--- | :--- |
 | 📧 Email | [huan.shen@brgroup.com](mailto:huan.shen@brgroup.com) · [yingao.wang@brgroup.com](mailto:yingao.wang@brgroup.com) · [wei.zou@brgroup.com](mailto:wei.zou@brgroup.com) |
 | 💬 WeChat | h2538406363 |
-| 👥 WeChat Group | Scan the QR code to join the group<br><img src="TenSense/TenSense/image/wechat.jpg" alt="WeChat group QR code" width="220" /> |
+| 👥 WeChat Group | Scan the QR code to join the group<br><img src="TurnSense/TurnSense/image/wechat.jpg" alt="WeChat group QR code" width="220" /> |
 | 🐛 Issues | [GitHub Issues](https://github.com/Bairong-Xdynamics/TurnSense/issues) |
 | 🔀 PR | [Pull Requests](https://github.com/Bairong-Xdynamics/TurnSense/pulls) |