zakaria76al/USC

The official implementation of the paper "A spatio-temporal deep learning approach for underwater acoustic signals classification". In this repository, we present two new deep learning architectures based on spatio-temporal modeling for underwater signal classification.

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Experimental

This project helps classify underwater acoustic signals to identify their source, such as different types of ships. You provide raw audio recordings of underwater sounds, and it tells you what kind of vessel or object produced them. It's designed for marine biologists, oceanographers, defense analysts, or maritime security professionals who need to automatically categorize underwater acoustic events.

No commits in the last 6 months.

Use this if you need to automatically identify the source of underwater acoustic signals with high accuracy from audio recordings.

Not ideal if your primary goal is to analyze non-acoustic underwater data or if you need a real-time system with extremely low computational overhead on constrained devices.

underwater acoustics maritime surveillance marine biology oceanography sound classification
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 9 / 25

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31

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3

Language

Python

License

Last pushed

Apr 06, 2023

Commits (30d)

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