Modeling spectral variability for the classification of depressed speech.
Nicholas CumminsJulien EppsVidhyasaharan SethuMichael BreakspearRoland GoeckePublished in: INTERSPEECH (2013)
Keyphrases
- spectral features
- decision trees
- pattern recognition
- image classification
- pattern classification
- machine learning
- automatic classification
- classification accuracy
- support vector
- feature extraction
- feature selection
- support vector machine svm
- classification algorithm
- classification method
- classification rules
- classification systems
- feature vectors
- feature space
- supervised learning
- text classification
- classification models
- hyperspectral images
- hyperspectral imagery
- neural network