Decision theory is one of the most basic underlying theories which is crucial for the creation, understanding and implementation of a successful speaker recognition algorithm. To begin covering this topic, we need to understand the process of formalizing a hypothesis and testing it. Then, we will continue to talk about Bayesian decision theory. We also talk about hypotheses in the development of information theoretic concepts of Chapter 7.
KeywordsEquivalence Class Ground Truth Discriminant Function Decision Theory Speaker Recognition
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