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Abstract

Feelings assume a greatly imperative part in human mental life. It is a medium of articulation of one\"s point of view or his mental state to others. It is a channel of human mental portrayal of one\"s emotions. Feelings are a key grammatical form. Naturally recognizing feeling in a recording can improve human PC communication. It likewise empowers different sorts of investigations, for example, scan for paralinguistic phenomena, the genuineness of the speaker, and so on. In this proposition, we are going to utilize neural system, SVM and HMM strategy on discourse that is concentrate by highlight extraction technique. The characterization execution is taking into account separated highlights utilizing different classifiers. There may be sort of feelings amid discourse like happy, sad, aggressive and fear..In this work these four feelings are going to recognize. On premise of these feelings at long last we attain to on a conclusion with exactness results. The entire recreation has been occurred in MATLAB environment.

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Keywords

BPNN, Classification, Emotion Recognition, Speech, SVM, HMM.