Underwater sound classification using learning based methods: A review

Aslam, Muhammad Azeem; Zhang, Lefang; Liu, Xin; Irfan, Muhammad; Xu, Yimei; Li, Na; Zhang, Ping; Jiangbin, Zheng; Yaan, Li

doi:10.1016/j.eswa.2024.124498

Expert Systems with Applications

2024

DOI: 10.1016/j.eswa.2024.124498

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Underwater sound classification using learning based methods: A review

Muhammad Azeem Aslam,

Lefang Zhang,

Xin Liu

et al.

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2024

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Cited by 1 publication

References 175 publications

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Dual-Feature Fusion Learning: An Acoustic Signal Recognition Method for Marine Mammals

Lü,

Shi,

Lü

et al. 2024

Remote Sensing

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Marine mammal acoustic signal recognition is a key technology for species conservation and ecological environment monitoring. Aiming at the complex and changing marine environment, and because the traditional recognition method based on a single feature input has the problems of poor environmental adaptability and low recognition accuracy, this paper proposes a dual-feature fusion learning method. First, dual-domain feature extraction is performed on marine mammal acoustic signals to overcome the limitations of single feature input methods by interacting feature information between the time-frequency domain and the Delay-Doppler domain. Second, this paper constructs a dual-feature fusion learning target recognition model, which improves the generalization ability and robustness of mammal acoustic signal recognition in complex marine environments. Finally, the feasibility and effectiveness of the dual-feature fusion learning target recognition model are verified in this study by using the acoustic datasets of three marine mammals, namely, the Fraser’s Dolphin, the Spinner Dolphin, and the Long-Finned Pilot Whale. The dual-feature fusion learning target recognition model improved the accuracy of the training set by 3% to 6% and 20% to 23%, and the accuracy of the test set by 1% to 3% and 25% to 38%, respectively, compared to the model that used the time-frequency domain features and the Delay-Doppler domain features alone for recognition.

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Dual-Feature Fusion Learning: An Acoustic Signal Recognition Method for Marine Mammals

Lü,

Shi,

Lü

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

show abstract

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Underwater sound classification using learning based methods: A review

Cited by 1 publication

References 175 publications

Dual-Feature Fusion Learning: An Acoustic Signal Recognition Method for Marine Mammals

Dual-Feature Fusion Learning: An Acoustic Signal Recognition Method for Marine Mammals

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