Sparse KPCA for Feature Extraction in Speech Recognition.
Amaro LimaHeiga ZenYoshihiko NankakuKeiichi TokudaTadashi KitamuraFernando Gil ResendePublished in: ICASSP (1) (2005)
Keyphrases
- speech recognition
- feature extraction
- kernel principal component analysis
- high dimensional
- feature vectors
- face recognition
- linear discriminant analysis
- pattern recognition
- speaker identification
- feature space
- language model
- cepstral coefficients
- discriminant analysis
- kernel pca
- hidden markov models
- principal component analysis
- automatic speech recognition
- speech synthesis
- speech recognizer
- extracted features
- speech signal
- speech processing
- noisy environments
- speech recognition technology
- kernel methods
- dimensionality reduction
- wavelet transform
- image processing
- kernel function
- speaker independent
- frequency domain
- feature selection
- speech retrieval
- speech recognition errors
- speech recognition systems
- image classification
- mel frequency cepstral coefficients
- speaker diarization
- speaker dependent
- feature set
- visual features