ZiqiaoPeng/DualTalk_Dataset

DualTalk Dataset

📖 Overview

The DualTalk dataset is the first large-scale dataset specifically designed for dual-speaker 3D talking head conversation generation. This dataset supports speaker and listener role transitions, multi-round conversations, and natural interactions, providing essential benchmark data for the 3D talking head generation field.

🎯 Dataset Features

• Dual-Speaker Interaction: Contains synchronized audio and facial expression data from two speakers
• Role Transition: Supports dynamic transitions between speaker and listener roles
• Multi-Round Conversations: Provides continuous multi-round conversation data
• High-Quality Annotations: Includes precise FLAME parameters and audio features
• Diverse Scenarios: Covers various conversation scenarios and emotional expressions

📁 Dataset Structure

DualTalk_Dataset/
├── train/
│   ├── xxx_speaker1.wav          # Speaker 1 audio files
│   ├── xxx_speaker1.npz          # Speaker 1 FLAME parameters
│   ├── xxx_speaker2.wav          # Speaker 2 audio files
│   ├── xxx_speaker2.npz          # Speaker 2 FLAME parameters
│   └── ...
├── test/
│   ├── xxx_speaker1.wav
│   ├── xxx_speaker1.npz
│   ├── xxx_speaker2.wav
│   ├── xxx_speaker2.npz
│   └── ...
└── ood/                          # Out-of-distribution test data
    ├── xxx_speaker1.wav
    ├── xxx_speaker1.npz
    ├── xxx_speaker2.wav
    ├── xxx_speaker2.npz
    └── ...

📄 Citation

If you use the DualTalk dataset, please cite our paper:

@inproceedings{peng2025dualtalk,
  title={Dualtalk: Dual-speaker interaction for 3d talking head conversations},
  author={Peng, Ziqiao and Fan, Yanbo and Wu, Haoyu and Wang, Xuan and Liu, Hongyan and He, Jun and Fan, Zhaoxin},
  booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
  pages={21055--21064},
  year={2025}
}

📄 License

This dataset is derived from the RealTalk dataset and is licensed under Apache 2.0.

Apache 2.0 License: This license allows you to use, modify, and distribute the dataset for both commercial and non-commercial purposes, with proper attribution and license inclusion.

For the complete license text, please see: Apache 2.0 License