Auditory Attention Decoding in Four-Talker Environment with EEG

Yujie Yan, Xiran Xu, Haolin Zhu, Pei Tian, Zhongshu Ge, Xihong Wu, Jing Chen

科研成果: 期刊稿件会议文章同行评审

摘要

Auditory Attention Decoding (AAD) is a technique that determines the focus of a listener's attention in complex auditory scenes according to cortical neural responses.Existing research largely examines two-talker scenarios, insufficient for real-world complexity.This study introduced a new AAD database for a four-talker scenario with speeches from four distinct talkers simultaneously presented and spatially separated, and listeners' EEG was recorded.Temporal response functions (TRFs) analysis showed that attended speech TRFs are stronger than each unattended speech.AAD methods based on stimulus-reconstruction (SR) and cortical spatial lateralization were employed and compared.Results indicated decoding accuracy of 77.5% in 60s (chance level of 25%) using SR.Using auditory spatial attention detection (ASAD) methods also indicated high accuracy (94.7% with DenseNet-3D in 1s), demonstrating ASAD methods' generalization performance.

源语言英语
页(从-至)432-436
页数5
期刊Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
DOI
出版状态已出版 - 2024
已对外发布
活动25th Interspeech Conferece 2024 - Kos Island, 希腊
期限: 1 9月 20245 9月 2024

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