Enhancing Subject-Independent EEG-Based Auditory Attention Decoding with WGAN and Pearson Correlation Coefficient-Reference-Cited by-同舟云学术

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Enhancing Subject-Independent EEG-Based Auditory Attention Decoding with WGAN and Pearson Correlation Coefficient

Published:2023-10-01 Issue: Volume:27 Page:3715-3720
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Pahuja Saurav¹,Ivucic Gabriel²,Putze Felix²,Cai Siqi³,Li Haizhou¹,Schultz Tanja²

Affiliation:

1. University of Bremen,Machine Listening Lab (MLL),Germany

2. University of Bremen,Cognitive Systems Lab (CSL),Germany

3. National University of Singapore,Department of Electrical and Computer Engineering,Singapore

Funder

Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)

University of Bremen

University of Hong Kong

Shenzhen Research Institute of Big Data

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394150.pdf?arnumber=10394150

Reference27 articles.

1. Some Experiments on the Recognition of Speech, with One and with Two Ears

2. Attentional Gain Control of Ongoing Cortical Speech Representations in a "Cocktail Party"

3. Selective cortical representation of attended speaker in multi-talker speech perception

4. Neural coding of continuous speech in auditory cortex during monaural and dichotic listening

5. Attentional Selection in a Cocktail Party Environment Can Be Decoded from Single-Trial EEG

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