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Self-supervised learning–based underwater acoustical signal classification via mask modeling

2023
Open Access Peer Reviewed Research Article

Journal of the Acoustical Society of America

Xu, K., Xu, Q., You, K., Zhu, B., Feng, M., Feng, D., Liu, B.

Presentation of a novel self-supervised representation learning method for underwater acoustic signal classification in 2 stages: pretext learning using unlabelled data, and downstream fine tuning. Paper...
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Keywords: Labelled data, Self-supervised learning. Neural network, Signal classification, Unlabelled data