Comparing emotion recognition from voice and facial data using time invariant features

Kirandziska, Vesna; Ackovska, Nevena; Madevska Bogdanova, Ana

Comparing emotion recognition from voice and facial data using time invariant features

Journal

International Journal of Computer and Information Engineering

Date Issued

2016-03-02

Author(s)

Madevska Bogdanova, Ana

Abstract

The problem of emotion recognition is a challenging problem. It is still an open problem from the aspect of both intelligent systems and psychology. In this paper, both voice features and facial features are used for building an emotion recognition system. A Support Vector Machine classifiers are built by using raw data from video recordings. In this paper, the results obtained for the emotion recognition are given, and a discussion about the validity and the expressiveness of different emotions is presented. A comparison between the classifiers build from facial data only, voice data only and from the combination of both data is made here. The need for a better combination of the information from facial expression and voice data is argued.

File(s)

Name

Comparing_Emotion_Recognition_from_Voice.pdf

Size

173.65 KB

Format

Adobe PDF

Checksum

(MD5):cd2e698de269897013afba91e62798c6