High-order hidden Markov modelling
Date
1998
Authors
du Preez J.A.
Weber D.M.
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
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.
Description
Keywords
Algorithms, Markov processes, Mathematical models, Hidden Markov models (HMM), Speech recognition
Citation
Proceedings of the South African Symposium on Communications and Signal Processing, COMSIG