High-order hidden Markov modelling

du Preez J.A. ; Weber D.M. (1998)


Recently we introduced algorithms for the efficient processing of high-order hidden Markov models (HMMs) of fixed order. In this paper these techniques are generalized to also include mixed-order HMMs. This then allows first-order equivalents to be found for all HMMs, thereby providing a unifying base for reasoning about their properties. Specifically we provide formulations that separates the duration modelling and context modelling capabilities of high-order HMMs.

Please refer to this item in SUNScholar by using the following persistent URL: http://hdl.handle.net/10019.1/10439
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