EXPLICIT TIME CORRELATION IN HIDDEN MARKOV MODELS FOR SPEECH RECOGNITION.

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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.

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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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