This generative model is called hierarchical Dirichlet process hidden language model (HDP-HLM), which is obtained by extending the hierarchical Dirichlet process hidden semi-Markov model (HDP-HSMM) proposed by Johnson et al. An inference procedure for the HDP-HLM is derived using the blocked Gibbs sampler originally proposed for the HDP-HSMM.
[ 1 ] Akira Taniguchi, Tadahiro Taniguchi, Tetsunari Inamura,Spatial Concept Acquisition for a Mobile Robot that Integrates Self-Localization and Unsupervised Word Discovery from Spoken Sentences,IEEE Transactions on Cognitive and Developmental Systems, Vol.8 (4), pp. 285-297 .(2016)DOI: 10.1109/TCDS.2016.2565542