You might also like

More about Implementation of speech Emotion Recognition SVM kernel using MATLAB

• Book details
• Synopsis
• Trending among others

You get 86 loyalty points

Book synopsis

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.

Book details

• Full title: Implementation of speech Emotion Recognition SVM kernel using MATLAB
• Author: R. D. Shah, Anilkumar Suthar
• Language: English
• Binding: Paperback
• Number of pages: 72
• EAN: 9783659932991
• ID: 14211136
• Publisher: LAP Lambert Academic Publishing
• Weight: 124 g
• Dimensions: 220 × 150 × 4 mm
• Published: 2016

---

---

---