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Easy Turn: Integrating Acoustic and Linguistic Modalities for Robust Turn-Taking in Full-Duplex Spoken Dialogue Systems
Guojian Li1, Chengyou Wang1, Hongfei Xue1, Shuiyuan Wang1, Dehui Gao1, Zihan Zhang2, Yuke Lin2, Wenjie Li2, Longshuai Xiao2, Zhonghua Fu1,╀, Lei Xie1,╀
1 Audio, Speech and Language Processing Group (ASLP@NPU), Northwestern Polytechnical University
2 Huawei Technologies, China
| 🎤 Demo Page | 🤖 Easy Turn Model | 📑 Paper | 🌐 Huggingface |
|---|
Download
The Easy Turn resources are available at Model, Trainset, and 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.
Citation
Please cite our paper if you find this work useful:
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