Classification of speech under stress based on features derived from the nonlinear Teager energy operator.
Guojun ZhouJohn H. L. HansenJames F. KaiserPublished in: ICASSP (1998)
Keyphrases
- classification accuracy
- feature vectors
- feature extraction
- feature set
- classification method
- classification process
- spectral features
- svm classifier
- classification models
- feature space
- benchmark datasets
- discriminative features
- feature weights
- extracted features
- emotion classification
- kernel fisher
- feature analysis
- eeg signals
- machine learning
- class labels
- support vector machine svm
- extracting features
- low level
- svm classification
- image features
- pattern recognition
- image classification
- text classification
- pattern classification
- classification algorithm
- feature selection algorithms
- speech recognition
- high dimensionality
- machine learning algorithms
- training set
- support vector
- feature reduction
- neural network
- audio features
- emotion recognition
- feature values
- multi class
- roc curve