Decoding Brain Dynamics in Speech Perception Based on EEG Microstates Decomposed by Multivariate Gaussian Hidden Markov Model.
Nguyen Thanh DucBoreom LeePublished in: IEEE Access (2020)
Keyphrases
- hidden markov models
- multivariate gaussian
- speech recognition
- viterbi algorithm
- eeg signals
- speech signal
- eeg data
- automatic speech recognition
- phoneme recognition
- brain activity
- covariance matrix
- maximum likelihood estimation
- brain computer interface
- multi stream
- recognition engine
- noisy speech
- gaussian distribution
- spectral features
- speaker independent
- human brain
- gesture recognition
- conditional random fields
- speaker identification
- visual speech
- maximum likelihood
- hidden states
- computer vision
- sequential data
- markov model
- hidden state
- machine learning
- continuous hidden markov models
- discriminative training
- broadcast news
- brain images
- human subjects
- dynamical systems
- independent component analysis
- parameter estimation
- hierarchical hidden markov model
- upper bound