Abstract
The hidden Markov models are generalized by defining a emission probability which takes the correlation between successive feature vectors into account. Estimation formulas for the iterative learning both along Viterbi and maximum likelihood criteria are presented.
Cite
CITATION STYLE
APA
Wellekens, C. J. (1987). EXPLICIT TIME CORRELATION IN HIDDEN MARKOV MODELS FOR SPEECH RECOGNITION. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 384–386). IEEE. https://doi.org/10.1109/icassp.1987.1169614
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