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Introduction
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Models Gaussian Mixture Model:
For the GMM we used only global features. Hidden Markov Model
HMM captures temporal aspects. We used the segments as states. Initialization with EM. best
model with 3 states Classifier Selection We generate the likelihood for each classifier and compare
then values of the two opposite classifier.
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