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Implementation of speech Emotion Recognition SVM kernel using MATLAB

Name: Implementation of speech Emotion Recognition SVM kernel using MATLAB
Brand: LAP Lambert Academic Publishing
SKU: 14211136
Price: 32.06 EUR
Availability: InStock
Author: R. D. Shah
ISBN: 9783659932991

R. D. Shah

Anilkumar Suthar

Language

English

Book Paperback

Libristo code: 14211136

Publishers LAP Lambert Academic Publishing, November 2015

Speech emotion recognition is a very important speech technology. an extensive research is made by u... Full description

Libristo code: 14211136

78 b

32.06 €

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Speech emotion recognition is a very important speech technology. an extensive research is made by using different speech information and signal for human emotion recognition. We develop a speech-based emotion classification method using SVM by using standard EMA database. In order to achieve a high emotion classification accuracy we have used SVM with kernel functions, From result obtained by using different kernels functions . From result we conclude that RBF Kernel function in which we got 94.96%, 96.02%, 98.96%, 98.76% accuracy results for Angry, Happy, Neutral, Sad emotions respectively using energy, formant and MFCC features. Our result shows that classification accuracy will be improve using kernel functions.