QinggangSUN/keras_multiple_target_recognition
keras_multi_target_signal_recognition Underwater single channel acoustic multiple targets recognition using ResNet, DenseNet, and Complex-Valued convolutional nerual networks. keras-gpu 2.2.4 with tensorflow-gpu 1.12.0 backend.
This project helps underwater acoustic analysts automatically identify multiple targets from a single acoustic signal. It takes raw or pre-processed underwater sound data as input and outputs a classification of the types of targets present, even if there are several overlapping. It is designed for researchers or engineers working in marine acoustics, defense, or environmental monitoring.
No commits in the last 6 months.
Use this if you need to identify multiple distinct underwater targets from a single-channel acoustic recording and are looking for advanced deep learning models to improve accuracy.
Not ideal if you are working with single-target recognition or if your acoustic data is not from an underwater environment.
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Python
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Last pushed
Apr 01, 2022
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