DualTalk: Dual-Speaker Interaction for 3D Talking Head Conversations
Paper • 2505.18096 • Published • 1
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Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
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detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
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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
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