TOINet: Transfer Learning from Overt Speech- to Imagined Speech-Based EEG Signals with Convolutional Autoencoder.
Dae-Hyeok LeeSung-Jin KimHyeon-Taek HanSeong-Whan LeePublished in: SMC (2023)
Keyphrases
- transfer learning
- eeg signals
- speech recognition
- speech signal
- learning tasks
- restricted boltzmann machine
- machine learning
- knowledge transfer
- labeled data
- text classification
- active learning
- pattern recognition
- semi supervised learning
- reinforcement learning
- computer vision
- graphical models
- support vector
- training data
- similarity measure
- extracted features
- feature selection
- domain adaptation
- neural network
- previously learned