Decoding Imagined, Heard, and Spoken Speech: Classification and Regression of EEG Using a 14-Channel Dry-Contact Mobile Headset.
Jonathan ClaytonScott WellingtonCassia Valentini-BotinhaoOliver WattsPublished in: INTERSPEECH (2020)
Keyphrases
- eeg data
- spectral features
- speech recognition
- support vector
- eeg signals
- model selection
- classification accuracy
- mobile devices
- automatic speech recognition
- motor imagery
- feature extraction
- pattern recognition
- feature vectors
- broadcast news
- regression model
- brain computer interface
- mobile users
- extracted features
- error control
- noisy channel
- sleep stage
- joint source channel
- regression method
- regression problems
- machine learning
- signal processing
- feature set
- feature selection