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In electrical engineering, statistical computing and bioinformatics, the Baum–Welch algorithm is a special case of the expectation–maximization algorithm used to find the unknown parameters of a hidden Markov model. It makes use of the forward-backward algorithm to compute the statistics for the expectation step.