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Overview of Hidden Markov Models by constanzaelf07 is a document available to read on EtoBox.

What is Overview of Hidden Markov Models about?

The document discusses Hidden Markov Models (HMMs) for the recognition of isolated words, detailing the training and recognition processes, as well as the structure and components of HMMs. It covers the evaluation, decoding, and training problems associated with HMMs, including algorithms like the Forward-Backward and Viterbi algorithms for efficient computation. The document emphasizes the abstraction of states in HMMs and their application in speech recognition tasks.

Author

constanzaelf07

Language

EN