Low-dimensional representation of Gaussian mixture model supervector for language recognition.
Jinchao YangXiang ZhangHongbin SuoLi LuJianping ZhangYonghong YanPublished in: EURASIP J. Adv. Signal Process. (2012)
Keyphrases
- gaussian mixture model
- low dimensional
- mixture model
- feature vectors
- feature space
- em algorithm
- high dimensional
- maximum likelihood
- pattern recognition
- feature representation
- gaussian mixture
- expectation maximization
- gaussian distribution
- gaussian mixture modeling
- speaker identification
- input space
- object recognition
- background subtraction
- speaker recognition
- image representation
- dimensionality reduction
- gaussian model
- principal component analysis
- image features
- mixture of gaussians
- feature selection
- machine learning