Duplicate from ASLP-lab/Easy-Turn-Trainset

Co-authored-by: ASLP-lab <ASLP-lab@users.noreply.huggingface.co>

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README.md

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+---
+language: 
+- "en"   
+- "zh"
+pretty_name: "Easy Turn"
+tags:
+- speech
+- asr
+license: "apache-2.0"  
+task_categories:
+- automatic-speech-recognition
+- audio-classification
+---
+# Easy Turn: Integrating Acoustic and Linguistic Modalities for Robust Turn-Taking in Full-Duplex Spoken Dialogue Systems
+
+<p align="center">
+  Guojian Li<sup>1</sup>, Chengyou Wang<sup>1</sup>, Hongfei Xue<sup>1</sup>, 
+  Shuiyuan Wang<sup>1</sup>, Dehui Gao<sup>1</sup>, Zihan Zhang<sup>2</sup>, 
+  Yuke Lin<sup>2</sup>, Wenjie Li<sup>2</sup>, Longshuai Xiao<sup>2</sup>, 
+  Zhonghua Fu<sup>1</sup><sup>,╀</sup>, Lei Xie<sup>1</sup><sup>,╀</sup>
+</p>
+
+<p align="center">
+  <sup>1</sup> Audio, Speech and Language Processing Group (ASLP@NPU), Northwestern Polytechnical University <br>
+  <sup>2</sup> Huawei Technologies, China <br>
+</p>
+
+<div align="center">
+
+|  🎤 [Demo Page](https://aslp-lab.github.io/Easy-Turn/) | 🤖 [Easy Turn Model](https://huggingface.co/ASLP-lab/Easy-Turn) | 📑 [Paper](https://arxiv.org) | 🌐 [Huggingface](https://huggingface.co/collections/ASLP-lab/easy-turn-68d3ed0b294df61214428ea7) |
+|:---:|:---:|:---:|:---:|
+
+</div>
+
+<p align="center">
+    <img src="src/logo.png" alt="Institution 5" style="width: 600px; border-radius: 30px;">
+</p>
+
+
+## Download
+The Easy Turn resources are available at [Model](https://huggingface.co/ASLP-lab/Easy-Turn), [Trainset](https://huggingface.co/datasets/ASLP-lab/Easy-Turn-Trainset), and [Testset](https://huggingface.co/datasets/ASLP-lab/Easy-Turn-Testset).
+
+## Easy Turn Trainset
+The Easy Turn Trainset is a large-scale audio dataset for turn-taking detection, comprising both real and synthetic data. It contains four subsets corresponding to different conversational turn-taking states: 580 hours of complete state, 532 hours of incomplete state, 10 hours of backchannel state, and 23 hours of wait state, totaling approximately 1,100 hours. Each recording is accompanied by a text transcription and labeled with one of the four turn-taking states. 
+<div align="center"><img width="550px" src="src/data_pipeline.jpg" /></div>
+
+
+## Citation
+Please cite our paper if you find this work useful:
+
+
+

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