A variational EM algorithm for learning eigenvoice parameters in mixed signals.
Ron J. WeissDaniel P. W. EllisPublished in: ICASSP (2009)
Keyphrases
- em algorithm
- expectation maximization
- maximum likelihood
- parameter estimation
- maximum likelihood estimation
- parameter learning
- hidden variables
- gaussian mixture
- gaussian mixture model
- mixture model
- likelihood function
- likelihood maximization
- generative model
- learning algorithm
- expectation maximisation
- unsupervised learning
- reinforcement learning
- bayesian networks
- log likelihood function
- closed form
- probability density function
- hyperparameters
- probabilistic model
- prior knowledge
- image segmentation