Enhancing the accuracy in classifying human emotion via speech recognition using multilayer perceptron compared with K-Nearest Neighbor.

Autor:	Devakar, S., David, D. Beaulah
Předmět:	K-nearest neighbor classification EMOTION recognition EMOTIONS JOB classification SPEECH perception CLASSIFICATION
Zdroj:	AIP Conference Proceedings; 2024, Vol. 2871 Issue 1, p1-8, 8p
Abstrakt:	To enhance assesses and compares Multilayer Perceptron with K-Nearest Neighbor with regard to voice recognition emotion classification. The research utilizes two categorization methods: K-Nearest Neighbor and Novel Multilayer Perceptron (MLP). G power program was and a p-value of 0.113. A total of six people make up each group. When it comes to recognizing human emotions, the Novel Multilayer Perceptron is much superior than K-Nearest Neighbor by a margin of 70.37 percent to 45.60 percent. Compared to MLP, KNN does a much poorer job in emotion classification using voice recognition. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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