Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
383661 | Expert Systems with Applications | 2012 | 8 Pages |
Abstract
In this paper, we propose a serial combination architecture of classifiers for automatic blue whale calls recognition. Based on class’s best selection operator, the proposed system uses a best classifier for D call class followed by another one that efficiently discriminate the A and B calls. The first classifier uses the short-time Fourier transform to characterize the patterns, while the second uses the chirplet transform. Both classifiers are based on multi-layer perceptron neural network. The classification performance (95.55%) of the proposed system outperforms all tested single classifiers. The other advantages of the system are no requirement for adjusting a series of parameters and simple feature extraction.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Mohammed Bahoura, Yvan Simard,