Classification of Imagined and Heard Speech Using Amplitude Spectrum and Relative Phase of EEG.
Ryota SakaiAtsuhiko KaiSeiichi NakagawaPublished in: LifeTech (2021)
Keyphrases
- eeg data
- eeg signals
- classification accuracy
- feature extraction
- classification algorithm
- support vector
- pattern recognition
- spectral features
- training phase
- automatic classification
- image classification
- speech recognition
- motor imagery
- learning phase
- classification method
- machine learning
- multi class
- support vector machine
- preprocessing
- class labels
- audio visual
- signal processing
- decision trees
- pattern classification
- classification models
- classification scheme
- feature set
- supervised learning