ear-EEG dataset for AAD task in Multiple-speaker environment
<div> <p>Please cite these original paper where this dataset was presented:</p> <p>YJ Yan, X Xu, H Zhu, P Tian, ZS Ge, X Wu, J Chen "Auditory Attention Decoding in Four-Talker Environment with EEG" which was accepted in INTERSPEECH 2024 and we will update more details after the closing of INTERSPEECH 2024.</p> <p>X. Xu, B.Wang, Y. Yan, X.Wu, and J. Chen, “A DenseNet-Based Method for Decoding Auditory Spatial Attention with EEG,” in ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Seoul, Korea, Republic of: IEEE, Apr. 2024, pp. 1946–1950.</p> <p>H. Zhu <em>et al</em>., "Using Ear-EEG to Decode Auditory Attention in Multiple-speaker Environment," <em>ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</em>, Hyderabad, India, 2025, pp. 1-5, doi: 10.1109/ICASSP49660.2025.10890810.</p> <p>The details of the setup for the experiment was mentioned in the original paper.</p> </div> <p><em>[1] Z. Fu, X. Wu, and J. Chen, “Congruent audiovisual speech enhances </em><em>auditory attention decoding with EEG,” Journal of Neural </em><em>Engineering, vol. 16, no. 6, p. 066033, Nov. 2019.</em></p> <p><em>[2] P. J. Sch ̈afer, F. I.</em><em> Corona-Strauss, R. Hannemann, S. A. Hillyard, </em><em>and D. J. Strauss, “Testing the Limits of the Stimulus Reconstruction </em><em>Approach: Auditory Attention Decoding in a Four-</em><em>Speaker Free Field Environment,” Trends in Hearing, vol. 22, p. </em><em>233121651881660, Jan. 2018.</em></p> <p><em>[3] T. Qu, Z. Xiao, M. Gong, Y. Huang, X. Li, and X. Wu, </em><em>“Distance-Dependent Head-Related Transfer Functions Measured </em><em>With High Spatial Resolution Using a Spark Gap,” IEEE Transactions </em><em>on Audio, Speech, and Language Processing, vol. 17, no. 6, </em><em>pp. 1124–1132, Aug. 2009.</em></p> <p><em><br>In our code repository https://github.com/zhl486/Ear_EEG_code.git , we have provided the envelopes of the experimental stimuli. If you require the original speech stimuli for auditory attention decoding (AAD) tasks, please feel free to contact us via email 2301111611@stu.pku.edu.cn and provide a brief explanation of your research needs.<br></em></p>
ShareScore
24/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- March 10, 2024
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.10803260
Scored with release 0.9.0
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