A computationally efficient approach to warp factor estimation in VTLN using EM algorithm and sufficient statistics.
P. T. AkhilShakti Prasad RathSrinivasan UmeshD. Rama SanandPublished in: INTERSPEECH (2008)
Keyphrases
- em algorithm
- expectation maximization
- sufficient statistics
- maximum likelihood estimation
- parameter estimation
- hidden variables
- log likelihood function
- maximum likelihood
- mixture model
- density estimation
- generative model
- gaussian mixture model
- incomplete data
- k means
- probabilistic model
- hyperparameters
- unsupervised learning
- maximum a posteriori
- bayesian framework
- machine learning
- information retrieval
- lower bound
- probability density function
- information extraction