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Pre-processing spectrogram parameters improve the accuracy of bioacoustic classification using convolutional neural networks
Download2021-06-01
Knight, Elly C., Hernandez, Sergio Poo, Bayne, Erin, Bulitko, Vadim, Tucker, Benjamin V.
A variety of automated classification approaches have been developed to extract species detection information from large bioacoustic datasets. Convolutional neural networks (CNNs) are an image classification technique that can be operated on the spectrogram of an audio recording. Using CNNs for...
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