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Volume 4 Issue 7

July 2018

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title

CLASSIFICATION OF SPEECH EMOTION BASED ON GENDER USING FUZZY LOGIC AND NEURAL NETWORKSP

Author(s):

Gowder Praveena Hiriyan

Keywords:

Neural network, Mel frequency Cepstrum Coefficient, Power spectrum

Abstract

An human interaction with computer become common interface now a days. Many developers identified Emotions from speech signal by classifying the emotion as happiness, surprise, neutral state, anger, sadness etc. The samples and the features are extracted from the emotional speech samples, sample taken as pitch. Another new technique utilizes fluffy rationale and neural system to distinguish the sex of the speaker. To prepare fluffy rationale and neural system, preparing informational index is created. The performances of the classification is based on the extracted features and the limit of the speech based on the classification.

Other Details

Paper ID: IJSARTV
Published in: Volume : 4, Issue : 5
Publication Date: 5/3/2018

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