marwendona/Python-Matlab-CNN_Project-DetectionAndClassificationOfMarineMammalVocalizations
Processed 5 classes of dolphin using CNN, incorporating natural and anthropogenic noises with random SNRs (0 dB to 30 dB). Developed MATLAB algorithm to generate 50 000 spectrograms (30 000 for training, 20 000 for testing). Achieved 87.6% accuracy with a margin of error of 19.5%.
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Jun 23, 2023
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