Clustering-based two-dimensional linear discriminant analysis for speech recognition.
Xiao-Bing LiDouglas D. O'ShaughnessyPublished in: INTERSPEECH (2007)
Keyphrases
- speech recognition
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- hidden markov models
- feature extraction
- language model
- speech synthesis
- fisher criterion
- feature space
- dimension reduction
- null space
- speech recognizer
- automatic speech recognition
- support vector
- speech signal
- pattern recognition
- support vector machine svm
- high dimensional data
- speech recognition systems
- speaker identification
- noisy environments
- speech recognition technology
- unsupervised learning
- high dimensional
- scatter matrices
- maximum likelihood
- facial expressions
- training data
- decision trees
- qr decomposition
- data sets