Dimension reduction selection for increasing naturalness in speech synthesis.
Mehmet Ali KutlugunYahya SirinPublished in: SIU (2017)
Keyphrases
- dimension reduction
- speech synthesis
- speech recognition
- high dimensional
- vocal tract
- high dimensional problems
- feature extraction
- principal component analysis
- variable selection
- manifold learning
- text to speech
- data mining and machine learning
- low dimensional
- random projections
- feature space
- feature selection
- linear discriminant analysis
- singular value decomposition
- partial least squares
- cluster analysis
- high dimensional data
- prosodic features
- high dimensionality
- discriminative information
- unsupervised learning
- preprocessing
- dimensionality reduction
- manifold embedding
- dimension reduction methods
- data mining
- intrinsic dimension
- training data
- high dimensional data analysis