Catalogue of Artificial Intelligence Techniques

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Strict Standards: Non-static method DB::isError() should not be called statically, assuming $this from incompatible context in /usr/share/pear/DB/common.php on line 1683

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Hidden Markov Models

Categories: Speech

Author(s): Steve Renals

Hidden Markov modelling is a powerful stochastic approach to speech recognition. It is based on the assumption that the speech signal may be approximated by a first-order Markov process. Although this assumption is erroneous, their tractability, firm grounding in statistics and the existence of a powerful and provably convergent training algorithm have made hidden Markov models the dominant technique in speech recognition. Hidden Markov models are `hidden' since each state in the model does not necessarily correspond to a particular portion of the speech signal, but contains an output probability distribution over the input space.

References:

Rabiner, L.R. and Juang, B.H., An Introduction to Hidden Markov Models IEEE ASSP Magazine 3 (1986) no.1, 4--16.

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