Using an ordinal ranking rule to find the top-performing Gaussian mixture models for language recognition.
DeAnna BaileyM. A. KohlerArlene A. Cole-RhodesPublished in: CISS (2013)
Keyphrases
- gaussian mixture model
- mixture model
- object recognition
- feature vectors
- pattern recognition
- speaker recognition
- expectation maximization
- em algorithm
- covariance matrices
- gaussian mixture
- speaker identification
- maximum likelihood
- feature space
- probability density function
- gaussian distribution
- probability density
- variational bayes
- density estimation
- feature extraction
- computer vision
- rank correlation
- active learning
- unsupervised learning
- image processing