Bioacoustic Classification of Antillean Manatee Vocalization Spectrograms Using Deep Convolutional Neural Networks

Bioacoustic Classification of Antillean Manatee Vocalization Spectrograms Using Deep Convolutional Neural Networks

We evaluated the potential of using convolutional neural networks in classifying spectrograms of Antillean manatee (<i>Trichechus manatus manatus</i>) vocalizations. Spectrograms using binary, linear and logarithmic amplitude formats were considered. Two deep convolutional neural network...

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Bibliographic Details
Main Authors: Fernando Merchan, Ariel Guerra, Héctor Poveda, Héctor M. Guzmán, Javier E. Sanchez-Galan
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
convolutional neural network
bioacoustic classification
deep neural networks
vocalizations
Antillean manatee
Panama
Online Access:https://www.mdpi.com/2076-3417/10/9/3286

Internet

https://www.mdpi.com/2076-3417/10/9/3286

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