Computer Science and Information Technologies, Computer Science and Information Technologies 2006

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Parallel Implementation of Baum-Welch Algorithm
M. V. Anikeev, O. B. Makarevich

Last modified: 2020-12-26

Abstract


Besides the fact that hidden Markov models (HMMs) became a state-of-the-art technique for speech recognition applications, they find major use in other areas as well. Some problems require huge training sets for fitting HMMs to experimental data, which leads to increased complexity of training algorithms. We propose a simple strategy of organizvng parallel HMM training, which can be effectively implemented using inexpensive network clusters.


Keywords


Baum-Welch Algorithm; Parallel programming; Markov models

References


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