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Human Emotion Recognition using ANN

by Renuka S. Lodha, M. A. Mechkul
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 170 - Number 10
Year of Publication: 2017
Authors: Renuka S. Lodha, M. A. Mechkul
10.5120/ijca2017914909

Renuka S. Lodha, M. A. Mechkul . Human Emotion Recognition using ANN. International Journal of Computer Applications. 170, 10 ( Jul 2017), 11-14. DOI=10.5120/ijca2017914909

@article{ 10.5120/ijca2017914909,
author = { Renuka S. Lodha, M. A. Mechkul },
title = { Human Emotion Recognition using ANN },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 170 },
number = { 10 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 11-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume170/number10/28105-2017914909/ },
doi = { 10.5120/ijca2017914909 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:18:13.275809+05:30
%A Renuka S. Lodha
%A M. A. Mechkul
%T Human Emotion Recognition using ANN
%J International Journal of Computer Applications
%@ 0975-8887
%V 170
%N 10
%P 11-14
%D 2017
%I Foundation of Computer Science (FCS), NY, 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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Index Terms

Computer Science
Information Sciences

Keywords

Emotion Recognition Artificial Neural Network.

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