Relate Auditory Speech To Eeg By Shallow-Deep Attention-Based Network
Author:
Affiliation:
1. Xiaomi Corp.,Beijing,China
2. Xi’an University of Posts and Telecommunications,Xi’an,China
3. Northwestern Polytechnical University,Xi’an,China
4. Peng Cheng Laboratory,ShenZhen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094934.pdf?arnumber=10094934
Reference5 articles.
1. A Large Auditory EEG decoding dataset;bollens,2023
2. Modeling the relationship between acoustic stimulus and EEG with a dilated convolutional neural network
3. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
4. An LSTM Based Architecture to Relate Speech Stimulus to Eeg
5. Extracting multidimensional stimulus-response correlations using hybrid encoding-decoding of neural activity
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1. SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants;Data;2024-07-26
2. Detecting Gamma-Band Responses to the Speech Envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14
3. Auditory EEG Decoding Challenge for ICASSP 2023;IEEE Open Journal of Signal Processing;2024
4. End-to-end translation of human neural activity to speech with a dual–dual generative adversarial network;Knowledge-Based Systems;2023-10
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