Simultaneous source separation of unknown numbers of single-channel underwater acoustic signals based on deep neural networks with separator-decoder structure

1 code implementation • 24 Jul 2022 • Qinggang Sun, Kejun Wang

In this paper, a deep learning-based simultaneous separating solution with a fixed number of output channels equal to the maximum number of possible targets is proposed to address these two problems.

Underwater single-channel acoustic signal multitarget recognition using convolutional neural networks

1 code implementation • The Journal of the Acoustical Society of America 2022 • Qinggang Sun, Kejun Wang

The radiated noise from ships is of great significance to target recognition, and several deep learning methods have been developed for the recognition of underwater acoustic signals.

Audio Multiple Target Classification Binary Classification