Speech Emotion Recognition Using Support Vector Machine and Linear Discriminant Analysis.
J. IndraR. Kiruba ShankarR. Devi PriyaPublished in: ISDA (2) (2022)
Keyphrases
- linear discriminant analysis
- support vector machine
- support vector machine svm
- support vector
- emotion recognition
- discriminant analysis
- emotional state
- feature space
- face recognition
- principal components analysis
- principal component analysis
- svm classifier
- dimensionality reduction
- small sample size
- facial expressions
- dimension reduction
- discriminant features
- multi class
- feature extraction
- null space
- audio visual
- high dimensional data
- fisher criterion
- subspace methods
- feature selection
- kernel methods
- class separability
- discriminative information
- knn
- kernel function
- training data
- linear discriminant
- feature vectors
- k nearest neighbor
- hyperplane
- speech signal
- principal components
- machine learning
- nearest neighbor
- semi supervised
- distance measure
- low dimensional
- training set
- scatter matrices
- scatter matrix
- qr decomposition