Voice conversion using partitions of spectral feature space.
Werner VerhelstJohan MertensPublished in: ICASSP (1996)
Keyphrases
- feature space
- kernel function
- high dimensional
- spectral analysis
- mean shift
- input space
- support vector machine
- classification accuracy
- feature selection
- high dimensionality
- high dimensional feature space
- spectral features
- feature extraction
- clustering algorithm
- training set
- low dimensional
- image representation
- feature vectors
- feature set
- multispectral images
- spectral images
- introducing additional
- kernel methods
- training samples
- dimensionality reduction
- dissimilarity measure
- data points
- image retrieval
- hyperspectral imagery
- text to speech
- training data
- visual words
- linear discriminant analysis
- dimension reduction
- hyperplane
- principal component analysis
- dot product
- image segmentation
- machine learning