Design and Evaluation of Speech based Emotion Recognition System using Support Vector Machines

被引：0

作者：

Harshini, D. ^{[1
]}

Pranjali, B. ^{[1
]}

Ranjitha, M. ^{[1
]}

Rushali, J. ^{[1
]}

Manikandan, J. ^{[1
]}

机构：

[1] PES Univ, Dept ECE & CORI, 100 Feet Ring Rd,BSK Stage 3, Bangalore 560085, Karnataka, India

来源：

2019 IEEE 16TH INDIA COUNCIL INTERNATIONAL CONFERENCE (IEEE INDICON 2019) | 2019年

关键词：

MFCC; SVM; Emotion Recognition; Pattern Classification; Machine Learning; Speech;

D O I：

10.1109/indicon47234.2019.9029030

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Emotion recognition systems are helpful in understanding human behavior and reaction towards humans, animals, movies, consumer products etc. Design and evaluation of a speech based emotion recognition system using Support Vector Machines is proposed in this paper. The performance of proposed system is evaluated using Berlin Emo-DB database and the results obtained using proposed system are compared with the results reported in literature on using the same database. Features are extracted from the audio samples in the database and fed to SVM classifier for recognizing different emotions. The dataset consists of both male and female audio samples. Recognition accuracies ranging from 72.0 - 100.0% is obtained on using different SVM kernels and dataset for proposed work.

引用

页数：4

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