LSTMs for EEG-based Auditory Attention Decoding
Author:
Affiliation:
1. Institute for Signal Processing, University of Lübeck,Lübeck,Germany
Funder
BMWi
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10289698/10289713/10289779.pdf?arnumber=10289779
Reference18 articles.
1. CBAM: Convolutional Block Attention Module;woo;Computer Vision -ECCV 2018 ser Lecture Notes in Computer Science,2018
2. Auditory-Inspired Speech Envelope Extraction Methods for Improved EEG-Based Auditory Attention Detection in a Cocktail Party Scenario;biesmans;IEEE Transactions on Neural Systems and Rehabilitation Engineering,2016
3. Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices
4. STAnet: A Spatiotemporal Attention Network for Decoding Auditory Spatial Attention From EEG
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