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Human Emotion Recognition using ANN

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Renuka S. Lodha, M. A. Mechkul
10.5120/ijca2017914909

Renuka S Lodha and M A Mechkul. Human Emotion Recognition using ANN. International Journal of Computer Applications 170(10):11-14, July 2017. BibTeX

@article{10.5120/ijca2017914909,
	author = {Renuka S. Lodha and M. A. Mechkul},
	title = {Human Emotion Recognition using ANN},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {170},
	number = {10},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {11-14},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume170/number10/28105-2017914909},
	doi = {10.5120/ijca2017914909},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

The aim of study of “Human Emotion Recognition By Speech Synthesis” is to make language interfaces in human-computer interaction applications more efficient. This study deals with the six emotions like anger, boredom, disgust, fear, happiness, sadness. Energy, MFCC (14), LPC (12), ZCR, Pitch, First three formant these six different features were extracted. Here Artificial Neural Network is used as classifier.

References

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Keywords

Emotion Recognition, Artificial Neural Network.