Noise Compensation for Subspace Gaussian Mixture Models.
Liang LuK. K. ChinArnab GhoshalSteve RenalsPublished in: INTERSPEECH (2012)
Keyphrases
- gaussian mixture model
- mixture model
- covariance matrices
- feature space
- expectation maximization
- speaker recognition
- feature vectors
- probability density
- maximum likelihood
- em algorithm
- probability density function
- density estimation
- low dimensional
- speaker identification
- feature extraction
- missing data
- high dimensional data
- noise level
- input data
- dimensionality reduction
- variational bayes
- generative model
- signal to noise ratio
- noise reduction
- principal component analysis
- machine learning
- finite mixtures
- covariance matrix
- learning algorithm