Spectral Entropy in Speech for Classification of Depressed Speakers.
Thaweesak YingthawornsukPublished in: SITIS (2016)
Keyphrases
- spectral features
- speech recognition
- classification systems
- automatic classification
- pattern recognition
- feature extraction
- decision trees
- classification scheme
- feature vectors
- classification accuracy
- class labels
- neural network
- hyperspectral data
- classification rules
- decision rules
- text classification
- benchmark datasets
- support vector machine
- machine learning
- linear predictive coding
- speaker adaptation
- information theory
- pattern classification
- hidden markov models
- information theoretic
- image classification
- training set
- feature space
- feature selection
- hyperspectral images
- linear prediction
- classification method
- data sets
- classification algorithm