A Bayesian Alternative to Gain Adaptation in Autoregressive Hidden Markov Models.
Bertrand MesotDavid BarberPublished in: ICASSP (2) (2007)
Keyphrases
- hidden markov models
- autoregressive
- non stationary
- gaussian markov random field
- speech recognition
- conditional random fields
- random fields
- markov models
- baum welch
- bayesian networks
- sequential data
- sequence classification
- sar images
- hidden states
- visual speech recognition
- maximum likelihood
- random effects
- continuous hidden markov models
- viterbi algorithm
- speaker adaptation
- bayesian inference
- stochastic context free grammars
- genetic algorithm
- high frequency
- high resolution
- image processing
- computer vision