Cross-Subject Classification of Spoken Mandarin Vowels and Tones with EEG Signals: A Study of End-to-End CNN with Fine-Tuning
Author:
Affiliation:
1. Southern University of Science and Technology,Shenzhen,China
2. University of Macau,Macau,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10317071/10317095/10317100.pdf?arnumber=10317100
Reference23 articles.
1. EEG Classification of Covert Speech Using Regularized Neural Networks
2. Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI
3. Synchronization between overt speech envelope and EEG oscillations during imagined speech
4. Deep learning for electroencephalogram (EEG) classification tasks: a review
5. Applying Extreme Learning Machine to classification of EEG BCI
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