Class-based variable memory length Markov model

Shinsuke Mori, Gakuto Kurata
2005 Interspeech 2005   unpublished
In this paper, we present a class-based variable memory length Markov model and its learning algorithm. This is an extension of a variable memory length Markov model. Our model is based on a class-based probabilistic suffix tree, whose nodes have an automatically acquired wordclass relation. We experimentally compared our new model with a word-based bi-gram model, a word-based tri-gram model, a class-based bi-gram model, and a word-based variable memory length Markov model. The results show
more » ... a class-based variable memory length Markov model outperforms the other models in perplexity and model size.
doi:10.21437/interspeech.2005-6 fatcat:picxhlfzgfbepmnxftvanjk6zy