illustrates how hidden Markov models convert continuous voice input into speech tokens using feature vectors. Make sure:   Distinguish discrete, semi-continuous, and continuous HMMs.   Describe how the Baum-Welch technique trains a continuous hidden Markov model.   Detail how HMMs handle continuous feature vectors.   Explain and demonstrate multi-modal data.   Explain mixture density models and HMMs.

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