Title :
Explicit time correlation in hidden Markov models for speech recognition
Author_Institution :
Philips Research Laboratory, Brussels, Belgium
Abstract :
The Hidden Markov models are generalized by defining a new 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.
Keywords :
Hidden Markov models; Maximum likelihood estimation; Speech recognition; State estimation; Symmetric matrices; TV; Viterbi algorithm; Yield estimation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
DOI :
10.1109/ICASSP.1987.1169614
