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Published in:

Volume 2 Issue 4
April-2015
eISSN: 2349-5162

Unique Identifier

JETIR1504060

Page Number

1169-1171

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Title

Speech Emotion Recognition

ISSN

2349-5162

Cite This Article

"Speech Emotion Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 4, page no.1169-1171, April-2015, Available :http://www.jetir.org/papers/JETIR1504060.pdf

Abstract

In human machine interface application, emotion recognition from the speech signal has been research topic since many years. To identify the emotions from the speech signal, many systems have been developed. In this paper speech emotion recognition based on the previous technologies which uses different classifiers for the emotion recognition is reviewed. The classifiers are used to differentiate emotions such as anger, happiness, sadness, surprise, neutral state, etc. The database for the speech emotion recognition system is the emotional speech samples and the features extracted from these speech samples are the pitch, energy, linear prediction cepstrum coefficient (LPCC), Mel frequency cepstrum coefficient (MFCC). The classification performance is based on extracted features. Inference about the performance and limitation of speech emotion recognition system based on the different classifiers are also discussed.

Key Words

Feature Selection, Emotion recognition, Classifier,Feature extraction.

Cite This Article

"Speech Emotion Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 4, page no. pp1169-1171, April-2015, Available at : http://www.jetir.org/papers/JETIR1504060.pdf

Publication Details

Published Paper ID: JETIR1504060
Registration ID: 150305
Published In: Volume 2 | Issue 4 | Year April-2015
DOI (Digital Object Identifier):
Page No: 1169-1171
ISSN Number: 2349-5162

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Cite This Article

"Speech Emotion Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 4, page no. pp1169-1171, April-2015, Available at : http://www.jetir.org/papers/JETIR1504060.pdf




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