Effective audio classification algorithm using Swarm-based optimization

Bae, Changseok, Wahid, Noorhaniza, Chung, Yuk Ying, Yeh, Wei-Chang, Bergmann, Neil William and Chen, Zhe (2014) Effective audio classification algorithm using Swarm-based optimization. International Journal of Innovative Computing, Information and Control, 10 1: 151-167.

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Author Bae, Changseok
Wahid, Noorhaniza
Chung, Yuk Ying
Yeh, Wei-Chang
Bergmann, Neil William
Chen, Zhe
Title Effective audio classification algorithm using Swarm-based optimization
Journal name International Journal of Innovative Computing, Information and Control
ISSN 1349-4198
Publication date 2014-02-01
Year available 2014
Sub-type Article (original research)
Open Access Status File (Publisher version)
Volume 10
Issue 1
Start page 151
End page 167
Total pages 17
Place of publication Kumamoto, Japan
Publisher I C I C International
Collection year 2015
Language eng
Abstract The effectiveness and usefulness of large audio databases is greatly dependent on the ability to classify and retrieve audio files based on their properties or content. Automatic classification using machine learning is much more practical than manual classification. In this paper, a new audio classification algorithm using Simplified Swarm Optimization (SSO) based on Particle Swarm Optimization (PSO) is presented. The performance of the new algorithm is compared with two existing state-of-the-art classifiers, PSO and Support Vector Machine (SVM), for an audio dataset being classified into five classes of musical instruments. The experimental results show that the proposed SSO-based classifier has improved classification accuracy (91.7%) when compared with PSO (87.2%) and SVM (88.5%). Additionally, the algorithm is shown to have simpler particle update calculations than PSO, and also requires fewer particles for classification training.
Keyword Audio classification
Swarm-based optimization
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Information Technology and Electrical Engineering Publications
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