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distribution is derived from the backward probabilities. We will delve deeper into the Forward-Backward algorithm in subsequent sections of this blog post. An HMM consists of two types of variables: hidden states and observations such that A set of N hidden states, S = {s1, s2, …, sN}. A set of M