Stress Level Classification of Speech Using Euclidean Distance Metrics in a Novel Hybrid Multi-Dimensional Feature Space.
Evan RuzanskiJohn H. L. HansenJames MeyerhoffGeorge SaviolakisWilliam NorrisTerry WollertPublished in: ICASSP (1) (2006)
Keyphrases
- kernel matrix
- feature space
- metric learning
- distance metric
- distance metric learning
- kernel learning
- multi dimensional
- nearest neighbor classification
- euclidean distance
- feature vectors
- classification accuracy
- data points
- kernel function
- dimensionality reduction
- training samples
- high dimensionality
- support vector machine
- feature selection
- input space
- high dimensional
- distance function
- feature extraction
- feature set
- knn classification
- decision trees
- speech signal
- pattern recognition
- training set
- semi supervised
- dimension reduction
- support vector
- mean shift
- class labels
- learning algorithm
- feature mapping
- image classification