Aquatic environments encompass the world's most extensive habitats, rich with sounds
produced by a diversity of animals. Passive acoustic monitoring (PAM) is an increasingly …

In this work, a convolutional neural network based method is proposed to automatically
detect odontocetes echolocation clicks by analyzing acoustic data recordings from a passive …

Passive acoustic surveys are becoming increasingly popular as a means of surveying for
cetaceans and other marine species. These surveys yield large amounts of data, the …

Researchers have a natural tendency to classify biological systems into categories. For
example, organisms can be classified based on biome, ecosystem, taxon, phylogeny, niche …

Passive acoustic observation of whales is an increasingly important tool for whale research.
Clicks are the predominant vocalizations of toothed whales, such as sperm whales and long …

This work demonstrates the effectiveness of using humans in the loop processes for
constructing large training sets for machine learning tasks. A corpus of over 57 000 toothed …

This paper introduces a feature extraction technique that identifies highly informative
features from sonar magnitude spectra for automated target classification. The approach …

A method based on a convolutional neural network for the automatic classification of
odontocete echolocation clicks is presented. The proposed convolutional neural network …

The Australian marine soundscape exhibits a diversity of sounds, which can be grouped into
biophony, geophony and anthrophony based on their sources. Animals from tiny shrimp, to …

Ocean noise has a negative impact on the acoustic recordings of odontocetes' echolocation
clicks. In this study, deep convolutional autoencoders (DCAEs) are presented to denoise the …