Comparing feature dimension reduction algorithms for GMM-SVM based speech emotion recognition.
Jianbo JiangZhiyong WuMingxing XuJia JiaLianhong CaiPublished in: APSIPA (2013)
Keyphrases
- dimension reduction
- learning algorithm
- speech emotion recognition
- gaussian mixture model
- decision trees
- high dimensional
- feature vectors
- high dimensionality
- support vector machine svm
- feature set
- text mining
- support vector machine
- active learning
- feature extraction
- image processing
- data mining and machine learning
- random projections
- data clustering
- dimension reduction methods
- supervised learning
- singular value decomposition
- unsupervised learning
- database
- image data
- machine learning
- data mining
- data sets