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It is a challenging task that to handle ambient variable acoustic factors in automatic speech recognition (ASR) system. The ambient variable noise and the distinct acoustic factors among speakers are two key issues for recognition task. To solve these problems, we present a new framework for robust speech recognition based on structured modeling, using generalized variable parameter HMMs (GVP-HMMs) and unsupervised speaker adaptation (SA) to compensate the mismatch from environment and speakerdoi:10.1109/iscslp.2012.6423526 dblp:conf/iscslp/LiLW12 fatcat:4e4al6wnwnhxhehsz3ke62336m