Acoustic data provide scientific and engineering insights in fields ranging from biology and
communications to ocean and Earth science. We survey the recent advances and …

Abstract Large and Deep Convolutional Neural Networks achieve good results in image
classification tasks, but they need methods to prevent overfitting. In this paper we compare …

In this study, AlexNet with transfer learning was employed to automatically detect and
classify the sounds of killer whales, long-finned pilot whales, and harp seals with widely …

For reasons of public security, modeling large crowd distributions for counting or density
estimation has attracted significant research interests in recent years. Existing crowd …

Deep clustering was applied to unlabeled, automatically detected signals in a coral reef
soundscape to distinguish fish pulse calls from segments of whale song. Deep embedded …

This paper proposes a robust system for detecting North Atlantic right whales by using deep
learning methods to denoise noisy recordings. Passive acoustic recordings of right whale …

Animal vocalization is one of the most important ways to identify the existence and
occurrence of marine mammals. Accurately detecting and identifying marine mammal …

There is strong socio‐political support for offshore wind development in US territorial waters
and construction is planned off several east coast states. Some of the planned development …

Whale vocal calls contain valuable information and abundant characteristics that are
important for classification of whale sub-populations and related biological research. In this …

Underwater sounds provide essential information for marine researchers to study sea
mammals. During long-term studies large amounts of sound signals are being recorded …