基于PCA和SVM的普通话语音情感识别 (Speech Emotion Recognition in Mandarin Based on PCA and SVM).
Haihua JiangBin HuPublished in: 计算机科学 (2015)
Keyphrases
- principal component analysis
- dimension reduction methods
- svm classifier
- support vector machine svm
- support vector
- principal components analysis
- support vector machine
- principle component analysis
- speech emotion recognition
- feature space
- feature extraction
- knn
- svm classification
- kernel pca
- principal components
- multi class
- dimensionality reduction
- training set
- feature selection
- dimension reduction
- covariance matrix
- feature vectors
- multi class svm
- face recognition
- kernel function
- linear discriminant analysis
- independent component analysis
- training data
- hyperplane
- kernel principal component analysis
- k nearest neighbor
- feature reduction
- face images
- low dimensional
- decision function
- multi class classification
- neural network
- support vectors
- generalization ability
- high dimensional
- data sets
- training samples
- optimal parameters
- negative matrix factorization
- ls svm