MAP Estimation of Continuous Density HMM : Theory and Applications

@inproceedings{Gauvain1992MAPEO,
  title={MAP Estimation of Continuous Density HMM : Theory and Applications},
  author={Jean-Luc Gauvain and Chin-Hui Lee},
  booktitle={HLT},
  year={1992}
}
I N T R O D U C T I O N Estimation of hidden Marknv model (HMM) is usually obtained by the method of maximum likelihood (ML) [1, 10, 6] assuming that the size of the training data is large enough to provide robust estimates. This paper investigates maximum a posteriori (MAP) estimate of continuous density hidden Markov models (CDHMM). The MAP estimate can… CONTINUE READING