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Stochastic modeling of temporal information in speech for hidden Markov models

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3 Author(s)
Dai, J. ; Dept. of Comput. Sci., Nanjing Univ., China ; MacKenzie, I.G. ; Tyler, J.E.M.

A Markov chain, namely, the temporal Markov model, is used to model the time-ordering information of the feature vectors of a spoken word. An empirical method is suggested to combine the temporal Markov model (TMM) with the hidden Markov model (HMM) for word recognition. Experiments on speaker-independent isolated English alphabet recognition showed that this method is effective in terms of improved recognition.

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Speech and Audio Processing, IEEE Transactions on  (Volume:2 ,  Issue: 1 )