Acoustic Modeling Using Continuous Density Hidden Markov Models in the Mercer Kernel Feature Space.
R. AnithaC. Chandra SekharPublished in: ISNN (1) (2007)
Keyphrases
- hidden markov models
- feature space
- mercer kernel
- kernel methods
- speech recognition
- sequential data
- fuzzy c means
- support vector machine
- mean shift
- feature extraction
- speaker independent
- feature vectors
- continuous hidden markov models
- hyperplane
- kernel principal component analysis
- data points
- data analysis
- support vector
- linear dynamical systems
- baum welch
- face images
- kernel function
- dimensionality reduction
- data mining
- principal component analysis
- classification accuracy
- high dimensional
- image processing
- feature selection