Comparison between supervised and unsupervised learning of probabilistic linear discriminant analysis mixture models for speaker verification.
Timur PekhovskyAleksandr SizovPublished in: Pattern Recognit. Lett. (2013)
Keyphrases
- mixture model
- linear discriminant analysis
- speaker verification
- generative model
- probabilistic model
- subspace analysis
- discriminant analysis
- gaussian mixture model
- unsupervised learning
- dimensionality reduction
- principal component analysis
- face recognition
- em algorithm
- expectation maximization
- support vector
- feature extraction
- dimension reduction
- model selection
- high dimensional data
- language model
- support vector machine svm
- feature space
- bayesian networks
- maximum likelihood
- semi supervised
- image processing
- semi supervised learning
- data sets
- topic models
- knn
- high dimensional
- pattern recognition
- training data
- audio visual
- information retrieval