Feature Integration and Dimension Reduction in Unit Selection TTS.
Ling CenMinghui DongPaul Y. ChanHaizhou LiPublished in: Int. J. Asian Lang. Process. (2010)
Keyphrases
- dimension reduction
- feature extraction
- principal component analysis
- high dimensional
- high dimensional data
- high dimensional problems
- high dimensionality
- data mining and machine learning
- manifold learning
- cluster analysis
- singular value decomposition
- dimensionality reduction
- variable selection
- low dimensional
- feature selection
- discriminative information
- linear discriminant analysis
- feature vectors
- feature space
- text to speech
- random projections
- partial least squares
- high dimensional data analysis
- unsupervised learning
- feature subspace
- data analysis
- neural network
- nearest neighbor
- preprocessing
- intrinsic dimension
- databases