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HMM Speech Recognition Project Guide by Stevan Milinkovic is a document available to read on EtoBox.

What is HMM Speech Recognition Project Guide about?

The document describes a project to design and implement a hidden Markov model (HMM) to optimally match training sequences. The goals are to use the forward-backward and Viterbi algorithms to estimate model parameters and compare results. Four HMMs with different characteristics are created to generate training sequences. The forward-backward algorithm is then reviewed to iteratively estimate the state prior, transition, and observation probabilities to maximize the likelihood of the training data.

Author

Stevan Milinkovic

Language

EN