High-order hidden Markov modelling

被引:1
|
作者
du Preez, JA [1 ]
Weber, DM [1 ]
机构
[1] Univ Stellenbosch, ZA-7602 Matieland, South Africa
关键词
D O I
10.1109/COMSIG.1998.736948
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently we introduced algorithms for the efficient processing of high-order hidden Markov models (HMMs) of fixed order [1,2,3]. In this paper these techniques are generalised 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.
引用
收藏
页码:197 / 202
页数:6
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