Applying Sparse KPCA for Feature Extraction in Speech Recognition.
Amaro LimaHeiga ZenYoshihiko NankakuKeiichi TokudaTadashi KitamuraFernando Gil ResendePublished in: IEICE Trans. Inf. Syst. (2005)
Keyphrases
- speech recognition
- feature extraction
- kernel principal component analysis
- face recognition
- speaker identification
- pattern recognition
- feature vectors
- hidden markov models
- linear discriminant analysis
- cepstral coefficients
- language model
- speech signal
- speech synthesis
- speech understanding
- speech recognizer
- automatic speech recognition
- noisy environments
- speech processing
- principal component analysis
- high dimensional
- feature space
- discriminant analysis
- kernel pca
- speech recognition technology
- extracted features
- image classification
- speaker independent
- image processing
- speech recognition systems
- isolated word
- frequency domain
- kernel function
- kernel methods
- mel frequency cepstral coefficients
- maximum likelihood
- dimensionality reduction
- feature selection
- speech retrieval
- information retrieval
- speech recognizers
- machine learning