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The extracted features are analyzed using Support Vector Machine (SVM) and with multilayer perceptron (MLP) a class of feed-forward ANN classifiers is\/are used to classify different emotional states. We observed 91% accuracy for Angry and Boredom emotional classes by using SVM and more than 96% accuracy using ANN and with an overall accuracy of 87.17% using SVM, 94% for ANN.<\/jats:p>","DOI":"10.3233\/kes-200044","type":"journal-article","created":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T14:01:57Z","timestamp":1601647317000},"page":"227-233","source":"Crossref","is-referenced-by-count":4,"title":["Recognition of human emotion with spectral features using multi layer-perceptron"],"prefix":"10.1177","volume":"24","author":[{"given":"A.","family":"Pramod Reddy","sequence":"first","affiliation":[]},{"given":"Vijayarajan","family":"V","sequence":"additional","affiliation":[]}],"member":"179","reference":[{"key":"10.3233\/KES-200044_ref2","unstructured":"A. Pramod Reddy and V. 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