Powering Hidden Markov Model by Neural Network based Generative Models.
Dong LiuAntoine HonoréSaikat ChatterjeeLars K. RasmussenPublished in: CoRR (2019)
Keyphrases
- hidden markov models
- generative model
- hierarchical hidden markov models
- probabilistic model
- fisher kernel
- conditional random fields
- mixture model
- speech recognition
- semi supervised
- hidden states
- topic models
- discriminative learning
- markov models
- bayesian framework
- discriminative models
- posterior probability
- prior knowledge
- latent dirichlet allocation
- markov model
- em algorithm
- hidden state
- hidden variables
- reinforcement learning
- sequence classification
- discriminative training
- expectation maximization
- graphical models