Noise Compensation for Subspace Gaussian Mixture Models.

Liang Lu K. K. Chin Arnab Ghoshal Steve Renals

Published 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