Continuous speech recognition using segmental unit input HMMs with a mixture of probability density functions and context dependency.
Kengo HanaiKazumasa YamamotoNobuaki MinematsuSeiichi NakagawaPublished in: ICSLP (1998)
Keyphrases
- probability density function
- hidden markov models
- expectation maximization
- mixture model
- gaussian mixture
- em algorithm
- kernel density estimation
- gaussian mixture model
- density function
- probabilistic model
- higher order statistics
- generalized gaussian
- kullback leibler divergence
- density estimation
- class conditional
- parzen window
- texture descriptors
- exponential family
- posterior probability
- input data
- semi supervised