An algorithm for maximum likelihood estimation of hidden Markov models with unknown state-tying.
Olivier CappéChafic MokbelDenis JouvetEric MoulinesPublished in: IEEE Trans. Speech Audio Process. (1998)
Keyphrases
- hidden markov models
- maximum likelihood estimation
- expectation maximization
- forward backward
- dynamic programming
- computer vision
- viterbi algorithm
- parameter estimation
- speech recognition
- similarity measure
- baum welch
- memory efficient
- markov models
- density function
- em algorithm
- k means
- probability density function
- mixture model
- markov model
- maximum likelihood
- state space
- hidden state
- probability distribution
- continuous hidden markov models