CSE6328

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• Week 1: background introduction; speech and spoken language (Weekly Reading: W1)

• Week 2 (updated): Math foundation: probabilities; Bayes theorem; statistics; Entropy; mutual information; decision tree; optimization (Weekly Reading: W2) (A useful online manual on Matrix Calculus)

• Week 3: Bayesian decision theory; Discriminative Models: Linear discriminant functions, support vector machine (SVM); (Weekly Reading: W3_1(part I), W3_2(part II))

• Week 4: Generative Models; model estimation; maximum likelihood, EM algorithm; multivariate Gaussian, Gaussian mixture model, Multinomial, Markov Chain model; (Weekly Reading: W4)

• Week 5: Discriminative Learning; Bayesian Learning; Pattern Verification (Weekly Reading: W5)