Phone classification via manifold learning based dimensionality reduction algorithms.
Heyun HuangLouis ten BoschBert CranenLou BovesPublished in: Speech Commun. (2016)
Keyphrases
- manifold learning
- dimensionality reduction
- dimensionality reduction methods
- low dimensional
- nonlinear dimensionality reduction
- feature extraction
- dimension reduction
- high dimensional data
- pattern recognition
- high dimensionality
- subspace learning
- high dimensional
- feature space
- diffusion maps
- locality preserving projections
- low dimensional manifolds
- manifold structure
- feature selection
- data representation
- machine learning
- principal components analysis
- laplacian eigenmaps
- learning algorithm
- pattern classification
- linear discriminant analysis
- unsupervised learning
- principal component analysis
- nearest neighbor
- semi supervised
- geometric structure
- text classification
- graph embedding
- feature vectors
- support vector
- neighborhood preserving embedding