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This paper proposes an efficient approximation of the forwardbackward (FB) algorithm, for the purpose of estimating missing features, based on downsampling statistical models. The paper discusses the role of Hidden Markov Models (HMMs) in the estimation process, and presents an approximation to the FB method by developing HMMs based on lower resolution quantizers, which are obtained through a tree-structure mapping of quantizer centroids. To illustrate the effectiveness of the proposed method,doi:10.1109/icassp.2008.4518637 dblp:conf/icassp/BorgstromA08 fatcat:kqofq3smb5gdha3sixmquvcjza