Improving Underwater Ship Sound Classification with CNNs and Advanced Signal Processing

Pedro Guedes, José Franco Amaral, Thiago Carvalho, Thiago Carvalho, Pedro Coelho

2025

Abstract

The identification of underwater sound patterns has become an area of great relevance, both in marine biology, for studying species, and in the identification of ships. However, the significant presence of noise in the underwater environment poses a technical challenge for the accurate classification of these signals. This work proposes the use of signal analysis techniques, such as Mel Frequency Cepstral Coefficients (MFCCs) and Wavelet Transform, combined with Convolutional Neural Networks (CNNs), for classifying ship audio captured in a real-world environment strongly influenced by its surroundings. The developed models achieved a better accuracy in signal classification, demonstrating robustness in the face of adverse underwater conditions. The results indicate the effectiveness of the proposed approach, contributing to advances in the application of neural network techniques to underwater sound signals.

Paper Citation

in Harvard Style

Guedes P., Amaral J., Carvalho T. and Coelho P. (2025). Improving Underwater Ship Sound Classification with CNNs and Advanced Signal Processing. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 555-561. DOI: 10.5220/0013418300003929

in Bibtex Style

@conference{iceis25,
author={Pedro Guedes and José Amaral and Thiago Carvalho and Pedro Coelho},
title={Improving Underwater Ship Sound Classification with CNNs and Advanced Signal Processing},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={555-561},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013418300003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Improving Underwater Ship Sound Classification with CNNs and Advanced Signal Processing
SN - 978-989-758-749-8
AU - Guedes P.
AU - Amaral J.
AU - Carvalho T.
AU - Coelho P.
PY - 2025
SP - 555
EP - 561
DO - 10.5220/0013418300003929
PB - SciTePress