Research on speaker feature dimension reduction based on CCA and PCA.
Yuhuan ZhouXiongwei ZhangJinming WangYong GongPublished in: WCSP (2010)
Keyphrases
- dimension reduction
- principal component analysis
- partial least squares
- principle component analysis
- dimension reduction methods
- linear discriminant analysis
- feature extraction
- random projections
- feature subspace
- singular value decomposition
- high dimensional
- canonical correlation analysis
- low dimensional
- dimensionality reduction
- high dimensional problems
- feature space
- preprocessing step
- manifold learning
- feature selection
- locality preserving projections
- dimensionality reduction methods
- discriminative information
- high dimensional data
- discriminant analysis
- principal components
- unsupervised learning
- cluster analysis
- covariance matrix
- face recognition
- independent component analysis
- feature set
- high dimensionality
- preprocessing
- machine learning
- nonlinear manifold
- decision trees
- active learning
- principal components analysis