Abstract
In the society there is a need for measuring expected emotional reactions of certain listener’s category to a musical composition or excerpt performance, sounding of a musical instrument, speech intonation, and even advertisement. In the course of developing such an instrument that relies on the model of forming basic and complicated emotions, a method has been required that will enable recognition of emotions automatically. A Radial Basis Function Neural Network based on k-fold cross validation methodology can perform this function. Calculation-experimental investigations confirmed its efficiency and allowed clarifying the proposed transformation function of signals in the listener’s brain.
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