Linear Discriminant Analysis Using a Generalized Mean of Class Covariances and Its Application to Speech Recognition.
Makoto SakaiNorihide KitaokaSeiichi NakagawaPublished in: IEICE Trans. Inf. Syst. (2008)
Keyphrases
- speech recognition
- linear discriminant analysis
- scatter matrix
- fisher criterion
- discriminant analysis
- class separability
- linear discriminant
- null space
- dimensionality reduction
- supervised dimensionality reduction
- scatter matrices
- face recognition
- principal component analysis
- hidden markov models
- speech signal
- dimension reduction
- automatic speech recognition
- speech recognizer
- language model
- feature extraction
- speech recognition technology
- speaker identification
- feature space
- high dimensional data
- pattern recognition
- speech synthesis
- noisy environments
- support vector
- covariance matrix
- discriminant information
- intra class
- speech recognition systems
- data mining
- data sets
- signal processing
- data points
- maximum likelihood
- similarity measure
- neural network