Kernel oriented discriminant analysis for speaker-independent phoneme spaces.
Heeyoul ChoiRicardo Gutierrez-OsunaSeungjin ChoiYoonsuck ChoePublished in: ICPR (2008)
Keyphrases
- discriminant analysis
- speaker dependent
- speech recognition
- speaker independent
- kernel discriminant analysis
- discriminant subspace
- kernel fisher discriminant analysis
- class separability
- speaker identification
- hidden markov models
- linear discriminant analysis
- fisher linear discriminant analysis
- feature extraction
- face recognition
- kernel principal component analysis
- feature space
- speech recognizer
- language model
- graph embedding
- speech signal
- kernel function
- speaker adaptation
- pattern recognition
- generalized discriminant analysis
- principal component analysis
- noisy environments
- automatic speech recognition
- discriminant vectors
- partial least squares
- cluster analysis
- gaussian mixture model
- machine learning
- dimensionality reduction
- maximum likelihood
- k nearest neighbor
- digit recognition
- input space
- data sets
- kernel pca