Ensemble majority voting classifier for speech emotion recognition and prediction
Authors: Anagnostopoulos, Theodoros 
Skourlas, Christos 
Issue Date: 5-Aug-2014
Journal: Journal of Systems and Information Technology 
Volume: 16
Issue: 3
Keywords: Affective computing, Machine learning, Speech emotion recognition
Abstract: 
Purpose – The purpose of this paper is to understand the emotional state of a human being by capturing the speech utterances that are used during common conversation. Human beings except of thinking creatures are also sentimental and emotional organisms. There are six universal basic emotions plus a neutral emotion: happiness, surprise, fear, sadness, anger, disgust and neutral. Design/methodology/approach – It is proved that, given enough acoustic evidence, the emotional state of a person can be classified by an ensemble majority voting classifier. The proposed ensemble classifier is constructed over three base classifiers: k nearest neighbors, C4.5 and support vector machine (SVM) polynomial kernel. Findings – The proposed ensemble classifier achieves better performance than each base classifier. It is compared with two other ensemble classifiers: one-against-all (OAA) multiclass SVM with radial basis function kernels and OAA multiclass SVM with hybrid kernels. The proposed ensemble classifier achieves better performance than the other two ensemble classifiers. Originality/value – The current paper performs emotion classification with an ensemble majority voting classifier that combines three certain types of base classifiers which are of low computational complexity. The base classifiers stem from different theoretical background to avoid bias and redundancy. It gives to the proposed ensemble classifier the ability to be generalized in the emotion domain space.
ISSN: 1758-8847
1328-7265
DOI: 10.1108/JSIT-01-2014-0009
URI: https://uniwacris.uniwa.gr/handle/3000/2675
Type: Article
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Articles / Άρθρα

CORE Recommender
Show full item record

SCOPUSTM   
Citations

7
checked on Nov 1, 2024

Page view(s)

19
checked on Nov 5, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.