Exploring modulation spectrum features for speech-based depression level classification.
Elif BozkurtOrith Toledo-RonenAlexander SorinRon HooryPublished in: INTERSPEECH (2014)
Keyphrases
- feature vectors
- classification accuracy
- feature extraction
- feature set
- feature space
- classification method
- classification process
- classification models
- svm classifier
- spectral features
- extracted features
- high dimensionality
- class labels
- feature values
- feature analysis
- irrelevant features
- extracting features
- features extraction
- emotion classification
- decision trees
- support vector machine
- feature construction
- machine learning
- feature extraction and classification
- image features
- gender classification
- support vector machine svm
- classification scheme
- feature subset
- feature representation
- machine learning algorithms
- text classification
- supervised learning
- benchmark datasets
- decision tree classifiers
- speech recognition
- speech signal
- pattern classification
- audio visual
- textural features
- pattern recognition
- feature level
- lexical features